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tcheda
/
mot_test

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

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

  • Libraries
  • Transformers

    How to use tcheda/mot_test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="tcheda/mot_test", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("tcheda/mot_test", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mot_test
2.29 GB
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  • 1 contributor
History: 5 commits
tcheda's picture
tcheda
Upload 5 files
f0d4f17 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • config.json
    910 Bytes
    fix config almost 2 years ago
  • configuration_mot.py
    7.8 kB
    "Test upload 1" almost 2 years ago
  • merges.txt
    456 kB
    Upload 5 files almost 2 years ago
  • model.safetensors
    2.29 GB
    xet
    "Test upload 1" almost 2 years ago
  • modeling_mot.py
    72.7 kB
    "Test upload 1" almost 2 years ago
  • special_tokens_map.json
    583 Bytes
    Upload 5 files almost 2 years ago
  • tokenizer_config.json
    588 Bytes
    Upload 5 files almost 2 years ago
  • vocab.json
    999 kB
    Upload 5 files almost 2 years ago