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llm-llm-llm-llm
/
BIT

Question Answering
Transformers
PyTorch
English
language-model
gpt
sentencepiece
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use llm-llm-llm-llm/BIT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="llm-llm-llm-llm/BIT")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("llm-llm-llm-llm/BIT", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
BIT
264 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
llm-llm-llm-llm's picture
llm-llm-llm-llm
Update README.md
a390b8c verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    148 Bytes
    Update README.md about 2 months ago
  • model.pt

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    264 MB
    xet
    Upload model.pt with huggingface_hub about 2 months ago
  • tokenizer.model
    504 kB
    xet
    Upload tokenizer.model with huggingface_hub about 2 months ago