Commit
•
d41bf6c
1
Parent(s):
bccf9e7
feat: push custom model
Browse files- .gitattributes +1 -0
- 1_Pooling/config.json +10 -0
- README.md +41 -0
- colbert_linear.pt +3 -0
- config.json +28 -0
- config_sentence_transformers.json +9 -0
- model.safetensors +3 -0
- modules.json +20 -0
- sentence_bert_config.json +4 -0
- sentencepiece.bpe.model +3 -0
- sparse_linear.pt +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +3 -0
- tokenizer_config.json +55 -0
- training_args.bin +3 -0
.gitattributes
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@@ -33,3 +33,4 @@ 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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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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1_Pooling/config.json
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{
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"word_embedding_dimension": 1024,
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"pooling_mode_cls_token": true,
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"pooling_mode_mean_tokens": false,
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"pooling_mode_max_tokens": false,
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"pooling_mode_mean_sqrt_len_tokens": false,
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"pooling_mode_weightedmean_tokens": false,
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"pooling_mode_lasttoken": false,
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"include_prompt": true
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}
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README.md
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---
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license: apache-2.0
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datasets:
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- fine-tuned/BAAI_bge-m3-6232024-4vtf-webapp
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- allenai/c4
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language:
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- en
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pipeline_tag: feature-extraction
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tags:
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- sentence-transformers
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- feature-extraction
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- sentence-similarity
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- mteb
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- HVAC
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- Commercial
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- Residential
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- Technical
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- Prices
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---
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This model is a fine-tuned version of [**BAAI/bge-m3**](https://huggingface.co/BAAI/bge-m3) designed for the following use case:
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Heating Ventilation and Air Conditioning units
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## How to Use
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This model can be easily integrated into your NLP pipeline for tasks such as text classification, sentiment analysis, entity recognition, and more. Here's a simple example to get you started:
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```python
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from sentence_transformers import SentenceTransformer
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from sentence_transformers.util import cos_sim
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model = SentenceTransformer(
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'fine-tuned/BAAI_bge-m3-6232024-4vtf-webapp',
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trust_remote_code=True
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)
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embeddings = model.encode([
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'first text to embed',
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'second text to embed'
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])
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print(cos_sim(embeddings[0], embeddings[1]))
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```
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colbert_linear.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:a966c7be58ab7835127adf8b5807af120b551f6285b76fb5b394c57c3fa6d3f8
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size 4199874
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config.json
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{
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"_name_or_path": "mytmp/finetuned_model",
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"architectures": [
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"XLMRobertaModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 8194,
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"model_type": "xlm-roberta",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.40.2",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 250002
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}
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config_sentence_transformers.json
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{
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"__version__": {
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"sentence_transformers": "2.7.0",
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"transformers": "4.40.2",
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"pytorch": "2.3.1+cu121"
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},
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"prompts": {},
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"default_prompt_name": null
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8ba558fa0d6d491fec050125a84be3fabc405c020eb2dc7428392f621feee737
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size 2271064456
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modules.json
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[
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{
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"idx": 0,
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"name": "0",
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"path": "",
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"type": "sentence_transformers.models.Transformer"
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},
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{
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"idx": 1,
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"name": "1",
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"path": "1_Pooling",
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"type": "sentence_transformers.models.Pooling"
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},
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{
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"idx": 2,
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"name": "2",
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"path": "2_Normalize",
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"type": "sentence_transformers.models.Normalize"
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}
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]
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sentence_bert_config.json
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{
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"max_seq_length": 8192,
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"do_lower_case": false
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}
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sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
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size 5069051
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sparse_linear.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:846cb37fe193568e4e0fbd1b52eaa5e7267b6421d1f43b275fee819675f04ab4
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size 5564
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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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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"cls_token": {
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"content": "<s>",
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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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"eos_token": {
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"content": "</s>",
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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": true,
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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": "</s>",
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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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version https://git-lfs.github.com/spec/v1
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oid sha256:b74659c780d49afad7a7b9799868f75cbd3014fb6c34956e85a793028d38094a
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size 17098251
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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": "<s>",
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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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"1": {
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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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"2": {
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"content": "</s>",
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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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"3": {
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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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"250001": {
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"content": "<mask>",
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"lstrip": true,
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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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"bos_token": "<s>",
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"clean_up_tokenization_spaces": true,
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": "<mask>",
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"model_max_length": 8192,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"sp_model_kwargs": {},
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"tokenizer_class": "XLMRobertaTokenizer",
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"unk_token": "<unk>"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a0801b4212457453d53e9bbc8462a3d5f9da42f214cf80eb03cbcccc77b05c24
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size 5304
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