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hsila
/
Chembedding

Feature Extraction
Transformers
Safetensors
nomic_bert
custom_code
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use hsila/Chembedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hsila/Chembedding with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="hsila/Chembedding", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("hsila/Chembedding", trust_remote_code=True)
    model = AutoModel.from_pretrained("hsila/Chembedding", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
Chembedding
548 MB
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  • 1 contributor
History: 11 commits
hsila's picture
hsila
Add extra file 1_Pooling/config.json
313e183 verified 11 months ago
  • 1_Pooling
    Add extra file 1_Pooling/config.json 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    5.17 kB
    Upload model 11 months ago
  • config.json
    1.56 kB
    Upload model 11 months ago
  • configuration_hf_nomic_bert.py
    1.96 kB
    Add configuration_hf_nomic_bert.py 11 months ago
  • model.safetensors
    547 MB
    xet
    Upload model 11 months ago
  • modeling_hf_nomic_bert.py
    85.5 kB
    Add modeling_hf_nomic_bert.py 11 months ago
  • modules.json
    349 Bytes
    Add extra file modules.json 11 months ago
  • sentence_bert_config.json
    54 Bytes
    Add extra file sentence_bert_config.json 11 months ago
  • special_tokens_map.json
    125 Bytes
    Add extra file special_tokens_map.json 11 months ago
  • tokenizer.json
    711 kB
    Add extra file tokenizer.json 11 months ago
  • tokenizer_config.json
    1.19 kB
    Add extra file tokenizer_config.json 11 months ago
  • vocab.txt
    232 kB
    Add extra file vocab.txt 11 months ago