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raihan-js
/
fedproc-180m-v0

Text Classification
Transformers
English
federal-contracting
procurement
multi-task
token-classification
ner
far
dfars
gov-tech
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use raihan-js/fedproc-180m-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use raihan-js/fedproc-180m-v0 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="raihan-js/fedproc-180m-v0")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("raihan-js/fedproc-180m-v0", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
fedproc-180m-v0
600 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
raihan-js's picture
raihan-js
FedProc-Bench v0 upload
028f7b3 verified 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    7.43 kB
    FedProc-Bench v0 upload 2 months ago
  • labels.py
    3.2 kB
    FedProc-Bench v0 upload 2 months ago
  • metadata.json
    848 Bytes
    FedProc-Bench v0 upload 2 months ago
  • model.pt

    Detected Pickle imports (3)

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

    What is a pickle import?

    596 MB
    xet
    FedProc-Bench v0 upload 2 months ago
  • task3_thresholds.json
    244 Bytes
    FedProc-Bench v0 upload 2 months ago
  • tokenizer.json
    3.58 MB
    FedProc-Bench v0 upload 2 months ago
  • tokenizer_config.json
    380 Bytes
    FedProc-Bench v0 upload 2 months ago