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emarro
/
vcad2_small_extension_ba32000

Fill-Mask
Transformers
PyTorch
caduceus
custom_code
Model card Files Files and versions
xet
Community

Instructions to use emarro/vcad2_small_extension_ba32000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use emarro/vcad2_small_extension_ba32000 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="emarro/vcad2_small_extension_ba32000", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModelForMaskedLM
    model = AutoModelForMaskedLM.from_pretrained("emarro/vcad2_small_extension_ba32000", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
vcad2_small_extension_ba32000
353 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
emarro's picture
emarro
Upload tokenizer
9ec31cb verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    5.17 kB
    Upload CaduceusForMaskedLM 6 months ago
  • config.json
    1.34 kB
    Upload CaduceusForMaskedLM 6 months ago
  • configuration_caduceus.py
    1.96 kB
    Upload CaduceusForMaskedLM 6 months ago
  • modeling_caduceus.py
    30.2 kB
    Upload CaduceusForMaskedLM 6 months ago
  • modeling_rcps.py
    10.9 kB
    Upload CaduceusForMaskedLM 6 months ago
  • pytorch_model.bin
    353 MB
    xet
    Upload CaduceusForMaskedLM 6 months ago
  • special_tokens_map.json
    419 Bytes
    Upload tokenizer 6 months ago
  • tokenizer.json
    1.15 kB
    Upload tokenizer 6 months ago
  • tokenizer_config.json
    785 Bytes
    Upload tokenizer 6 months ago