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intexcp
/
gigactc

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

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

  • Libraries
  • Transformers

    How to use intexcp/gigactc with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="intexcp/gigactc", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("intexcp/gigactc", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
gigactc
931 MB
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  • 1 contributor
History: 5 commits
intexcp's picture
intexcp
Update encoder.py
74ab070 verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    5.17 kB
    Upload processor 6 months ago
  • config.json
    1.31 kB
    Upload GigaAMCTCHF 6 months ago
  • encoder.py
    18.9 kB
    Update encoder.py 6 months ago
  • gigaam_transformers.py
    7.73 kB
    Upload processor 6 months ago
  • model.safetensors
    931 MB
    xet
    Upload GigaAMCTCHF 6 months ago
  • preprocessor_config.json
    534 Bytes
    Upload processor 6 months ago
  • processor_config.json
    123 Bytes
    Upload processor 6 months ago
  • special_tokens_map.json
    279 Bytes
    Upload processor 6 months ago
  • tokenizer_config.json
    767 Bytes
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  • vocab.json
    405 Bytes
    Upload processor 6 months ago