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aayushbist
/
saccade-v2-4m

Token Classification
Transformers
Safetensors
bert
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use aayushbist/saccade-v2-4m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aayushbist/saccade-v2-4m with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="aayushbist/saccade-v2-4m")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("aayushbist/saccade-v2-4m")
    model = AutoModelForTokenClassification.from_pretrained("aayushbist/saccade-v2-4m", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
saccade-v2-4m
18.2 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 17 commits
aayushbist's picture
aayushbist
Model save
67a9355 verified 9 days ago
  • .gitattributes
    1.52 kB
    initial commit 9 days ago
  • README.md
    2.55 kB
    Model save 9 days ago
  • config.json
    789 Bytes
    Training in progress, step 500 9 days ago
  • model.safetensors
    17.5 MB
    xet
    Training in progress, step 2500 9 days ago
  • tokenizer.json
    714 kB
    Model save 9 days ago
  • tokenizer_config.json
    631 Bytes
    Training in progress, step 500 9 days ago
  • training_args.bin
    5.27 kB
    xet
    Training in progress, step 500 9 days ago