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hjpark10
/
jeol_custom_sampler_batch_8

Feature Extraction
Transformers
Safetensors
xlm-roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use hjpark10/jeol_custom_sampler_batch_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hjpark10/jeol_custom_sampler_batch_8 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="hjpark10/jeol_custom_sampler_batch_8")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("hjpark10/jeol_custom_sampler_batch_8")
    model = AutoModel.from_pretrained("hjpark10/jeol_custom_sampler_batch_8")
  • Notebooks
  • Google Colab
  • Kaggle
jeol_custom_sampler_batch_8
2.29 GB
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  • 1 contributor
History: 3 commits
hjpark10's picture
hjpark10
Upload tokenizer
690ba1d verified about 1 year ago
  • .gitattributes
    1.57 kB
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  • README.md
    5.17 kB
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  • config.json
    664 Bytes
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  • model.safetensors
    2.27 GB
    xet
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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
    1.4 kB
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