ljvmiranda921
commited on
Commit
•
dc42d16
1
Parent(s):
2dfbc58
xx_latm_sigtyp_trf-0.1.0: Update SIGTYP pipeline
Browse files- .gitattributes +5 -0
- README.md +0 -0
- config.cfg +190 -0
- meta.json +0 -0
- parser/cfg +13 -0
- parser/model +3 -0
- parser/moves +1 -0
- tagger/cfg +0 -0
- tagger/model +3 -0
- tokenizer +3 -0
- trainable_lemmatizer/cfg +2878 -0
- trainable_lemmatizer/model +3 -0
- trainable_lemmatizer/trees +0 -0
- transformer/cfg +3 -0
- transformer/model +3 -0
- vocab/key2row +1 -0
- vocab/lookups.bin +3 -0
- vocab/strings.json +0 -0
- vocab/vectors +0 -0
- vocab/vectors.cfg +3 -0
- xx_latm_sigtyp_trf-any-py3-none-any.whl +3 -0
.gitattributes
CHANGED
@@ -33,3 +33,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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parser/model filter=lfs diff=lfs merge=lfs -text
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tagger/model filter=lfs diff=lfs merge=lfs -text
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trainable_lemmatizer/model filter=lfs diff=lfs merge=lfs -text
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transformer/model filter=lfs diff=lfs merge=lfs -text
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xx_latm_sigtyp_trf-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
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README.md
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config.cfg
ADDED
@@ -0,0 +1,190 @@
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[paths]
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train = "corpus/train/latm_train.spacy"
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dev = "corpus/dev/latm_valid.spacy"
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vectors = null
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init_tok2vec = null
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[system]
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gpu_allocator = "pytorch"
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seed = 42
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[nlp]
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lang = "xx"
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pipeline = ["transformer","parser","trainable_lemmatizer","tagger"]
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batch_size = 128
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disabled = []
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before_creation = null
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after_creation = null
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after_pipeline_creation = null
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tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
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[components]
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[components.parser]
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factory = "parser"
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learn_tokens = false
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min_action_freq = 30
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moves = null
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scorer = {"@scorers":"spacy.parser_scorer.v1"}
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update_with_oracle_cut_size = 100
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[components.parser.model]
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@architectures = "spacy.TransitionBasedParser.v2"
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state_type = "parser"
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extra_state_tokens = false
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hidden_width = 128
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maxout_pieces = 3
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use_upper = false
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nO = null
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[components.parser.model.tok2vec]
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@architectures = "spacy-transformers.TransformerListener.v1"
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grad_factor = 1.0
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pooling = {"@layers":"reduce_mean.v1"}
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upstream = "*"
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[components.tagger]
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factory = "tagger"
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label_smoothing = 0.0
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neg_prefix = "!"
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overwrite = false
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scorer = {"@scorers":"spacy.tagger_scorer.v1"}
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[components.tagger.model]
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@architectures = "spacy.Tagger.v2"
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nO = null
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normalize = false
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[components.tagger.model.tok2vec]
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@architectures = "spacy-transformers.TransformerListener.v1"
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grad_factor = 1.0
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pooling = {"@layers":"reduce_mean.v1"}
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upstream = "*"
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[components.trainable_lemmatizer]
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factory = "trainable_lemmatizer"
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backoff = "orth"
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min_tree_freq = 3
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overwrite = false
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scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
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top_k = 1
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[components.trainable_lemmatizer.model]
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@architectures = "spacy.Tagger.v2"
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nO = null
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normalize = false
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[components.trainable_lemmatizer.model.tok2vec]
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@architectures = "spacy-transformers.TransformerListener.v1"
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grad_factor = 1.0
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pooling = {"@layers":"reduce_mean.v1"}
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upstream = "*"
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[components.transformer]
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factory = "transformer"
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max_batch_items = 4096
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set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
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[components.transformer.model]
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@architectures = "spacy-transformers.TransformerModel.v3"
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name = "ljvmiranda921/LiBERTus-base"
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mixed_precision = false
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[components.transformer.model.get_spans]
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@span_getters = "spacy-transformers.strided_spans.v1"
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window = 128
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stride = 96
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[components.transformer.model.grad_scaler_config]
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[components.transformer.model.tokenizer_config]
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use_fast = true
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[components.transformer.model.transformer_config]
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[corpora]
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[corpora.dev]
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@readers = "spacy.Corpus.v1"
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path = ${paths.dev}
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max_length = 0
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gold_preproc = false
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limit = 0
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augmenter = null
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[corpora.train]
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@readers = "spacy.Corpus.v1"
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path = ${paths.train}
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max_length = 0
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gold_preproc = false
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limit = 0
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augmenter = null
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[training]
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accumulate_gradient = 3
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dev_corpus = "corpora.dev"
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train_corpus = "corpora.train"
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seed = ${system.seed}
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gpu_allocator = ${system.gpu_allocator}
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dropout = 0.1
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patience = 1600
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max_epochs = 0
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max_steps = 20000
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eval_frequency = 200
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frozen_components = []
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annotating_components = []
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before_to_disk = null
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before_update = null
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[training.batcher]
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@batchers = "spacy.batch_by_padded.v1"
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discard_oversize = true
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size = 2000
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buffer = 256
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get_length = null
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[training.logger]
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@loggers = "spacy.ConsoleLogger.v3"
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console_output = true
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progress_bar = "eval"
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output_file = null
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[training.optimizer]
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@optimizers = "Adam.v1"
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beta1 = 0.9
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beta2 = 0.999
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L2_is_weight_decay = true
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L2 = 0.01
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grad_clip = 1.0
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use_averages = false
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eps = 0.00000001
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[training.optimizer.learn_rate]
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@schedules = "warmup_linear.v1"
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warmup_steps = 250
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total_steps = 20000
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initial_rate = 0.00005
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[training.score_weights]
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dep_uas = 0.17
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dep_las = 0.17
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dep_las_per_type = null
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sents_p = null
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sents_r = null
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sents_f = 0.0
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lemma_acc = 0.33
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tag_acc = 0.33
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[pretraining]
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[initialize]
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vectors = ${paths.vectors}
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init_tok2vec = ${paths.init_tok2vec}
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vocab_data = null
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lookups = null
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before_init = null
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after_init = null
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[initialize.components]
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[initialize.tokenizer]
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meta.json
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parser/cfg
ADDED
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{
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"moves":null,
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"update_with_oracle_cut_size":100,
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"multitasks":[
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],
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"min_action_freq":30,
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"learn_tokens":false,
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"beam_width":1,
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"beam_density":0.0,
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"beam_update_prob":0.0,
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"incorrect_spans_key":null
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}
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parser/model
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version https://git-lfs.github.com/spec/v1
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oid sha256:a86b954f26f098349158d546b7b72cbf6add66724e75a9ce868636c2c642a43a
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size 2886211
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parser/moves
ADDED
@@ -0,0 +1 @@
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��moves�
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tagger/cfg
ADDED
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tagger/model
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:7b664f15983b08c551b59439e9478e9746c65b968e62eb2ee4360d9dddc04bcd
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size 21941761
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tokenizer
ADDED
@@ -0,0 +1,3 @@
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|
trainable_lemmatizer/cfg
ADDED
@@ -0,0 +1,2878 @@
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1980 |
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1981 |
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3713,
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1982 |
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3715,
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1983 |
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3717,
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1984 |
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3719,
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1985 |
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3722,
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1986 |
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3724,
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1987 |
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3725,
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1988 |
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3727,
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1989 |
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3730,
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1990 |
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3732,
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1991 |
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3734,
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1992 |
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3735,
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1993 |
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3737,
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1994 |
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3738,
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1995 |
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3740,
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1996 |
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3744,
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1997 |
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3747,
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1998 |
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3749,
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1999 |
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3752,
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2000 |
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3754,
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2001 |
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3755,
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2002 |
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3757,
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2003 |
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3758,
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2004 |
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3759,
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2005 |
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3761,
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2006 |
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3764,
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2007 |
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3766,
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2008 |
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3767,
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2009 |
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3769,
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2010 |
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3771,
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2011 |
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2012 |
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3776,
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2013 |
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2014 |
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3778,
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2015 |
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3780,
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2016 |
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3782,
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2017 |
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3784,
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2018 |
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3753,
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2020 |
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2021 |
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3788,
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2022 |
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3789,
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2023 |
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3792,
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2024 |
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3794,
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2025 |
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2026 |
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2027 |
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2028 |
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2029 |
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2030 |
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2031 |
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2032 |
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2033 |
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2034 |
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2036 |
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2040 |
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2100 |
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2101 |
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2102 |
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2103 |
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2104 |
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2110 |
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2161 |
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2163 |
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2164 |
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2166 |
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2173 |
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2240 |
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trainable_lemmatizer/model
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|
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xx_latm_sigtyp_trf-any-py3-none-any.whl
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