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BASF-AI
/
ChEmbed-prog

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

Instructions to use BASF-AI/ChEmbed-prog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use BASF-AI/ChEmbed-prog with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="BASF-AI/ChEmbed-prog", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("BASF-AI/ChEmbed-prog", trust_remote_code=True)
    model = AutoModel.from_pretrained("BASF-AI/ChEmbed-prog", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle

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  • 1_Pooling
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.txt
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