adrianeboyd
commited on
Commit
•
d912105
1
Parent(s):
13b7391
Update spaCy pipeline
Browse files- README.md +2 -2
- accuracy.json +1 -1
- config.cfg +1 -0
- lt_core_news_md-any-py3-none-any.whl +2 -2
- meta.json +4 -4
README.md
CHANGED
@@ -78,8 +78,8 @@ Lithuanian pipeline optimized for CPU. Components: tok2vec, morphologizer, tagge
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| Feature | Description |
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| --- | --- |
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| **Name** | `lt_core_news_md` |
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| **Version** | `3.
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| **spaCy** | `>=3.
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| **Default Pipeline** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
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| **Components** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
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| **Vectors** | 500000 keys, 20000 unique vectors (300 dimensions) |
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| Feature | Description |
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| --- | --- |
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| **Name** | `lt_core_news_md` |
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| **Version** | `3.7.0` |
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| **spaCy** | `>=3.7.0,<3.8.0` |
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| **Default Pipeline** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
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| **Components** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
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| **Vectors** | 500000 keys, 20000 unique vectors (300 dimensions) |
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accuracy.json
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@@ -153,5 +153,5 @@
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"f": 0.8543263965
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}
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},
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"speed":
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}
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"f": 0.8543263965
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}
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},
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"speed": 8148.756740475
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}
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config.cfg
CHANGED
@@ -17,6 +17,7 @@ after_creation = null
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after_pipeline_creation = null
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batch_size = 256
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tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
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[components]
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after_pipeline_creation = null
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batch_size = 256
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tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
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vectors = {"@vectors":"spacy.Vectors.v1"}
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[components]
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lt_core_news_md-any-py3-none-any.whl
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:bf793c09c47795fad7fe1a4d310a885abf6df662499ffa4be6102649782a4f82
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size 42644045
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meta.json
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@@ -1,14 +1,14 @@
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{
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"lang":"lt",
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"name":"core_news_md",
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"version":"3.
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"description":"Lithuanian pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, parser, lemmatizer (trainable_lemmatizer), senter, ner.",
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"author":"Explosion",
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"email":"[email protected]",
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"url":"https://explosion.ai",
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"license":"CC BY-SA 4.0",
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"spacy_version":">=3.
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"spacy_git_version":"
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"vectors":{
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"width":300,
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"vectors":20000,
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"f":0.8543263965
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}
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},
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"speed":
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},
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"sources":[
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{
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{
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"lang":"lt",
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"name":"core_news_md",
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"version":"3.7.0",
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"description":"Lithuanian pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, parser, lemmatizer (trainable_lemmatizer), senter, ner.",
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"author":"Explosion",
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"email":"[email protected]",
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"url":"https://explosion.ai",
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"license":"CC BY-SA 4.0",
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"spacy_version":">=3.7.0,<3.8.0",
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"spacy_git_version":"6b4f77441",
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"vectors":{
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"width":300,
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"vectors":20000,
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"f":0.8543263965
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}
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},
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"speed":8148.756740475
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},
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"sources":[
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{
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