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Seznam
/
html-lm

Feature Extraction
Transformers
Safetensors
modernbert
html
document-embedding
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Seznam/html-lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Seznam/html-lm with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Seznam/html-lm")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Seznam/html-lm")
    model = AutoModel.from_pretrained("Seznam/html-lm", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
html-lm
619 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
vtlustos's picture
vtlustos
Update README.md
60ce139 verified 5 days ago
  • test
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  • .gitattributes
    1.52 kB
    initial commit 6 days ago
  • README.md
    9.58 kB
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  • config.json
    1.14 kB
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  • model.safetensors
    617 MB
    xet
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  • processor.py
    5.56 kB
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  • processor_config.json
    112 Bytes
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  • special_tokens_map.json
    3.94 kB
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  • tokenizer.json
    1.37 MB
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  • tokenizer_config.json
    38.8 kB
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  • vocab.txt
    423 kB
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