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tau
/
splinter-large

Question Answering
Transformers
PyTorch
English
splinter
SplinterModel
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use tau/splinter-large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="tau/splinter-large")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("tau/splinter-large")
    model = AutoModelForQuestionAnswering.from_pretrained("tau/splinter-large")
  • Notebooks
  • Google Colab
  • Kaggle
splinter-large
1.33 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
oriram's picture
oriram
Create README.md
3d409d8 over 4 years ago
  • .gitattributes
    737 Bytes
    initial commit almost 5 years ago
  • README.md
    3.07 kB
    Create README.md over 4 years ago
  • config.json
    451 Bytes
    Initial commit almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.33 GB
    xet
    Initial commit almost 5 years ago
  • special_tokens_map.json
    145 Bytes
    Initial commit almost 5 years ago
  • tokenizer_config.json
    49 Bytes
    Initial commit almost 5 years ago
  • vocab.txt
    213 kB
    Initial commit almost 5 years ago