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segment-any-text
/
sat-6l

Token Classification
Transformers
PyTorch
ONNX
xlm-token
Model card Files Files and versions
xet
Community
1

Instructions to use segment-any-text/sat-6l with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use segment-any-text/sat-6l with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="segment-any-text/sat-6l")
    # Load model directly
    from transformers import AutoModelForTokenClassification
    model = AutoModelForTokenClassification.from_pretrained("segment-any-text/sat-6l", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
sat-6l
1.89 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 7 commits
benjamin's picture
benjamin
Upload model.onnx with huggingface_hub
6b7bb74 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    709 Bytes
    Update README.md about 2 years ago
  • config.json
    5.57 kB
    Upload 4 files about 2 years ago
  • model.onnx
    472 MB
    xet
    Upload model.onnx with huggingface_hub almost 2 years ago
  • model_optimized.onnx
    471 MB
    xet
    Upload model_optimized.onnx with huggingface_hub almost 2 years ago
  • pytorch_model.bin
    940 MB
    xet
    Upload 4 files about 2 years ago
  • trainer_state.json
    2.6 MB
    Upload 4 files about 2 years ago
  • training_args.bin
    3.9 kB
    xet
    Upload 4 files about 2 years ago