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ammarnasr
/
t5mimo-bare

Feature Extraction
Transformers
Safetensors
t5
custom_code
Model card Files Files and versions
xet
Community

Instructions to use ammarnasr/t5mimo-bare with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ammarnasr/t5mimo-bare with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="ammarnasr/t5mimo-bare", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("ammarnasr/t5mimo-bare", trust_remote_code=True)
    model = AutoModel.from_pretrained("ammarnasr/t5mimo-bare", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
t5mimo-bare
33.7 MB
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  • 1 contributor
History: 3 commits
ammarnasr's picture
ammarnasr
Upload model
65880ee verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload model over 1 year ago
  • config.json
    829 Bytes
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  • configuration_t5mimo.py
    6.87 kB
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  • model.safetensors
    33.6 MB
    xet
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  • modeling_t5mimo.py
    76.4 kB
    Upload model over 1 year ago