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baskra
/
leaf-large

Feature Extraction
Transformers
Safetensors
leaf
food
environment
NLP
Eco-Score
products
multilingual
BERT
classification
Open Food Facts
climate
custom_code
Model card Files Files and versions
xet
Community

Instructions to use baskra/leaf-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use baskra/leaf-large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="baskra/leaf-large", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("baskra/leaf-large", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
leaf-large
2.3 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
baskra's picture
baskra
Update README.md
f4de4ff verified over 1 year ago
  • .gitattributes
    1.57 kB
    Upload tokenizer almost 2 years ago
  • README.md
    2.67 kB
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  • config.json
    302 Bytes
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  • configuration_leaf.py
    462 Bytes
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  • mappings.py
    154 kB
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  • model.safetensors
    2.28 GB
    xet
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  • modeling_leaf.py
    2.8 kB
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  • special_tokens_map.json
    964 Bytes
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  • tokenizer.json
    17.1 MB
    xet
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  • tokenizer_config.json
    1.17 kB
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