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vikp
/
instruct_rater

Text Classification
Transformers
PyTorch
gpt_neox
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use vikp/instruct_rater with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="vikp/instruct_rater")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("vikp/instruct_rater")
    model = AutoModelForSequenceClassification.from_pretrained("vikp/instruct_rater")
  • Notebooks
  • Google Colab
  • Kaggle
instruct_rater
1.42 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
vikp's picture
vikp
Update README.md
6346687 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    950 Bytes
    Update README.md over 2 years ago
  • config.json
    813 Bytes
    Upload GPTNeoXForSequenceClassification over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.42 GB
    xet
    Upload GPTNeoXForSequenceClassification over 2 years ago