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fullstuck
/
Langchain

Feature Extraction
Transformers
PyTorch
mpnet
Generated from Trainer
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use fullstuck/Langchain with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="fullstuck/Langchain")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("fullstuck/Langchain")
    model = AutoModel.from_pretrained("fullstuck/Langchain", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Langchain
438 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
fullstuck's picture
fullstuck
End of training
d4e02bc almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    1.09 kB
    End of training almost 3 years ago
  • config.json
    613 Bytes
    End of training almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    438 MB
    xet
    End of training almost 3 years ago
  • training_args.bin
    4.03 kB
    xet
    End of training almost 3 years ago