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xiaohua828
/
MNIST_Demo_1

Image Feature Extraction
Transformers
PyTorch
custom_code
Model card Files Files and versions
xet
Community

Instructions to use xiaohua828/MNIST_Demo_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use xiaohua828/MNIST_Demo_1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="xiaohua828/MNIST_Demo_1", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("xiaohua828/MNIST_Demo_1", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MNIST_Demo_1
134 kB
Ctrl+K
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  • 1 contributor
History: 26 commits
xiaohua828's picture
xiaohua828
Upload tokenizer
1759a8b about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    300 Bytes
    Upload config about 3 years ago
  • config_counter.py
    889 Bytes
    Update config_counter.py about 3 years ago
  • modeling_glm.py
    620 Bytes
    Update modeling_glm.py about 3 years ago
  • pytorch_model.bin
    1.02 kB
    xet
    Upload model about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 3 years ago
  • tokenizer.py
    2.49 kB
    Upload tokenizer.py about 3 years ago
  • tokenizer_config.json
    98 Bytes
    Upload tokenizer about 3 years ago
  • vocab.txt
    127 kB
    Upload tokenizer about 3 years ago