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fagner
/
envoy

Token Classification
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use fagner/envoy with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="fagner/envoy")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("fagner/envoy")
    model = AutoModelForTokenClassification.from_pretrained("fagner/envoy", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
envoy
Ctrl+K
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  • 2 contributors
History: 3 commits
3v324v23's picture
3v324v23
thesis release
e80e352 over 4 years ago
  • .gitattributes
    690 Bytes
    initial commit over 5 years ago
  • config.json
    977 Bytes
    thesis release over 4 years ago
  • eval_results.txt
    910 Bytes
    thesis release over 4 years ago
  • pytorch_model.bin
    431 MB
    xet
    thesis release over 4 years ago
  • special_tokens_map.json
    112 Bytes
    thesis release over 4 years ago
  • test_results.txt
    909 Bytes
    thesis release over 4 years ago
  • tokenizer_config.json
    360 Bytes
    thesis release over 4 years ago
  • training_args.bin
    3.06 kB
    xet
    thesis release over 4 years ago
  • vocab.txt
    213 kB
    thesis release over 4 years ago