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skm14747
/
custom_lid_lsd

Text Classification
Transformers
Safetensors
Laya
mmbert
system-one
calibrated-decisions
rlcd
classification
routing
guardrails
moderation
commercial-use
Model card Files Files and versions
xet
Community

Instructions to use skm14747/custom_lid_lsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use skm14747/custom_lid_lsd with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="skm14747/custom_lid_lsd")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("skm14747/custom_lid_lsd", device_map="auto")
  • Laya

    How to use skm14747/custom_lid_lsd with Laya:

    # No code snippets available yet for this library.
    
    # To use this model, check the repository files and the library's documentation.
    
    # Want to help? PRs adding snippets are welcome at:
    # https://github.com/huggingface/huggingface.js
  • Notebooks
  • Google Colab
  • Kaggle
custom_lid_lsd / tokenizer
34.4 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
skm14747's picture
skm14747
Upload fine-tuned laya dual-head LID+LSD
2d85dd4 verified 22 days ago
  • tokenizer.json
    34.4 MB
    xet
    Upload fine-tuned laya dual-head LID+LSD 22 days ago
  • tokenizer_config.json
    624 Bytes
    Upload fine-tuned laya dual-head LID+LSD 22 days ago