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mw-huggingface
/
debug_pipeline

Transformers
t5
text2text-generation
Model card Files Files and versions
xet
Community

Instructions to use mw-huggingface/debug_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mw-huggingface/debug_pipeline with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultimodalLM
    
    tokenizer = AutoTokenizer.from_pretrained("mw-huggingface/debug_pipeline")
    model = AutoModelForMultimodalLM.from_pretrained("mw-huggingface/debug_pipeline")
  • Notebooks
  • Google Colab
  • Kaggle
debug_pipeline
22.2 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
mw-huggingface's picture
mw-huggingface
Upload config.json
4cda10a almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • adapter_config.json
    355 Bytes
    Upload model almost 3 years ago
  • adapter_model.bin
    19 MB
    xet
    Upload model almost 3 years ago
  • config.json
    788 Bytes
    Upload config.json almost 3 years ago
  • special_tokens_map.json
    2.2 kB
    Upload tokenizer almost 3 years ago
  • spiece.model
    792 kB
    xet
    Upload tokenizer almost 3 years ago
  • tokenizer.json
    2.42 MB
    Upload tokenizer almost 3 years ago
  • tokenizer_config.json
    2.5 kB
    Upload tokenizer almost 3 years ago