Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +29 -0
- config.json +56 -0
- model.neuron +3 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +57 -0
- vocab.txt +0 -0
.gitattributes
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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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model.neuron filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: apache-2.0
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---
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---
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license: apache-2.0
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---
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This model is compiled for neuronx devices (eg. on inf2 instance).
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This original checkpoint is [`BAAI/bge-base-en-v1.5`](https://huggingface.co/BAAI/bge-base-en-v1.5).
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## Export
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Here below is the command used for exporting this model:
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```bash
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optimum-cli export neuron -m BAAI/bge-base-en-v1.5 --sequence_length 384 --batch_size 1 --task feature-extraction bge_emb/
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```
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## Usage
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To use the compiled artifacts for inference, here is an example:
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```python
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from transformers import AutoTokenizer
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from optimum.neuron import NeuronModelForSenetenceTransformers
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emb_model = NeuronModelForSenetenceTransformers.from_pretrained("optimum/bge-base-en-v1.5-neuronx")
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inputs = tokenizer("Hamilton is considered to be the best musical of human history.", return_tensors="pt")
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emb = emb_model(**inputs)
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print(emb.keys())
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# ["token_embeddings", "sentence_embedding"]
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```
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config.json
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{
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"_name_or_path": "/home/ubuntu/.cache/torch/sentence_transformers/BAAI_bge-base-en-v1.5/",
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"architectures": [
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"BertModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "LABEL_0"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"LABEL_0": 0
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"neuron": {
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"auto_cast": null,
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"auto_cast_type": null,
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"compiler_type": "neuronx-cc",
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"compiler_version": "2.12.54.0+f631c2365",
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"dynamic_batch_size": false,
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"input_names": [
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"input_ids",
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"attention_mask"
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],
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"model_type": "sentence-transformers-transformer",
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"optlevel": "2",
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"output_attentions": false,
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"output_hidden_states": false,
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"output_names": [
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"token_embeddings",
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"sentence_embedding"
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],
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"static_batch_size": 1,
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"static_num_beams": 1,
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"static_sequence_length": 384
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},
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"task": "feature-extraction",
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"torch_dtype": "float32",
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"torchscript": true,
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"transformers_version": "4.36.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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model.neuron
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version https://git-lfs.github.com/spec/v1
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oid sha256:20055c325eb2c4e990664218588f0674937ac7cf7ada42652460f00f32d8c013
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size 272398850
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special_tokens_map.json
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{
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"cls_token": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"mask_token": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"sep_token": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"100": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"101": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"102": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"103": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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vocab.txt
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