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texturejc
/
texture-frames-frame

Text Classification
Transformers
English
frame-semantics
framenet
semantic-parsing
srl
english
Model card Files Files and versions
xet
Community

Instructions to use texturejc/texture-frames-frame with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use texturejc/texture-frames-frame with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="texturejc/texture-frames-frame")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("texturejc/texture-frames-frame", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
texture-frames-frame
1.76 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
texturejc's picture
texturejc
Delete folder checkpoint-6440 with huggingface_hub
9d0d2f2 verified 4 days ago
  • .gitattributes
    1.52 kB
    initial commit 19 days ago
  • README.md
    2.99 kB
    Upload README.md with huggingface_hub 4 days ago
  • frame2_model.pt

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.75 GB
    xet
    Upload folder using huggingface_hub 19 days ago
  • frame2id.json
    28.1 kB
    Upload folder using huggingface_hub 19 days ago
  • tokenizer.json
    8.34 MB
    Upload folder using huggingface_hub 19 days ago
  • tokenizer_config.json
    522 Bytes
    Upload folder using huggingface_hub 19 days ago