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Hiveurban
/
hive-token-classification

Feature Extraction
Transformers
Safetensors
bert
custom_code
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Hiveurban/hive-token-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Hiveurban/hive-token-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Hiveurban/hive-token-classification", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Hiveurban/hive-token-classification", trust_remote_code=True)
    model = AutoModel.from_pretrained("Hiveurban/hive-token-classification", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
hive-token-classification
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  • 1 contributor
History: 2 commits
Hiveurban's picture
Hiveurban
Upload HiveTokenClassification
d4459cd verified over 1 year ago
  • .gitattributes
    1.57 kB
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  • README.md
    5.17 kB
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  • config.json
    2.55 kB
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  • hive_token_classification.py
    938 Bytes
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  • model.safetensors
    1.75 GB
    xet
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  • special_tokens_map.json
    695 Bytes
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  • tokenizer.json
    3.58 MB
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  • tokenizer_config.json
    1.35 kB
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  • vocab.txt
    1.5 MB
    xet
    Upload HiveTokenClassification over 1 year ago