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emarro
/
pcad2-200M-cnet-ar

Feature Extraction
Transformers
Safetensors
custom_code
Model card Files Files and versions
xet
Community

Instructions to use emarro/pcad2-200M-cnet-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use emarro/pcad2-200M-cnet-ar with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="emarro/pcad2-200M-cnet-ar", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("emarro/pcad2-200M-cnet-ar", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
pcad2-200M-cnet-ar
895 MB
Ctrl+K
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  • 1 contributor
History: 5 commits
emarro's picture
emarro
Upload HNetForCausalLM
67d603b verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    5.17 kB
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  • caduceus_configuration_caduceus.py
    1.96 kB
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  • caduceus_modeling_caduceus.py
    28.7 kB
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  • caduceus_modeling_rcps.py
    9.98 kB
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  • caduceus_tokenization_caduceus.py
    5.14 kB
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  • config.json
    927 Bytes
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  • config_hnet.py
    4.43 kB
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  • mixer_seq.py
    12.9 kB
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  • model.safetensors
    895 MB
    xet
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  • models_config_hnet.py
    4.43 kB
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  • models_hnet.py
    15.9 kB
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  • modules_block.py
    14.9 kB
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  • modules_dc.py
    12.9 kB
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  • modules_isotropic.py
    7.19 kB
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  • modules_mha.py
    17.1 kB
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  • modules_mlp.py
    1.06 kB
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  • modules_rotary.py
    25.6 kB
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  • modules_utils.py
    1.36 kB
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  • special_tokens_map.json
    971 Bytes
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  • tokenizer_config.json
    1.52 kB
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