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selfconstruct3d
/
FALCON-base

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

Instructions to use selfconstruct3d/FALCON-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use selfconstruct3d/FALCON-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="selfconstruct3d/FALCON-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("selfconstruct3d/FALCON-base")
    model = AutoModel.from_pretrained("selfconstruct3d/FALCON-base")
  • Notebooks
  • Google Colab
  • Kaggle
FALCON-base
601 MB
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  • 1 contributor
History: 3 commits
selfconstruct3d's picture
selfconstruct3d
Upload tokenizer
06b2a4e verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    5.17 kB
    Upload model 3 months ago
  • config.json
    1.93 kB
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  • model.safetensors
    597 MB
    xet
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  • tokenizer.json
    3.67 MB
    Upload tokenizer 3 months ago
  • tokenizer_config.json
    580 Bytes
    Upload tokenizer 3 months ago