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superfunguy
/
pcm-benchmark-grounded-deberta

Text Classification
Transformers
Safetensors
deberta-v2
policy-compliance
web-agents
deberta-v3
safety
st-webagentbench
Model card Files Files and versions
xet
Community

Instructions to use superfunguy/pcm-benchmark-grounded-deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use superfunguy/pcm-benchmark-grounded-deberta with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="superfunguy/pcm-benchmark-grounded-deberta")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("superfunguy/pcm-benchmark-grounded-deberta")
    model = AutoModelForSequenceClassification.from_pretrained("superfunguy/pcm-benchmark-grounded-deberta")
  • Notebooks
  • Google Colab
  • Kaggle
pcm-benchmark-grounded-deberta
740 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
superfunguy's picture
superfunguy
Upload trained PCM checkpoint
cfdaa79 verified 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    657 Bytes
    Upload trained PCM checkpoint 2 months ago
  • added_tokens.json
    23 Bytes
    Upload trained PCM checkpoint 2 months ago
  • config.json
    850 Bytes
    Upload trained PCM checkpoint 2 months ago
  • model.safetensors
    738 MB
    xet
    Upload trained PCM checkpoint 2 months ago
  • special_tokens_map.json
    286 Bytes
    Upload trained PCM checkpoint 2 months ago
  • spm.model
    2.46 MB
    xet
    Upload trained PCM checkpoint 2 months ago
  • tokenizer_config.json
    1.32 kB
    Upload trained PCM checkpoint 2 months ago