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whitedevil0089devil
/
roberta_base

Text Classification
Transformers
Safetensors
PyTorch
English
roberta
question-answering
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use whitedevil0089devil/roberta_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use whitedevil0089devil/roberta_base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="whitedevil0089devil/roberta_base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("whitedevil0089devil/roberta_base")
    model = AutoModelForSequenceClassification.from_pretrained("whitedevil0089devil/roberta_base", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
roberta_base
5.86 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 53 commits
whitedevil0089devil's picture
whitedevil0089devil
Upload checkpoint-1650/trainer_state.json
51a86b3 verified about 1 year ago
  • checkpoint-1350
    Upload checkpoint-1350/trainer_state.json about 1 year ago
  • checkpoint-1500
    Upload checkpoint-1500/trainer_state.json about 1 year ago
  • checkpoint-1650
    Upload checkpoint-1650/trainer_state.json about 1 year ago
  • .gitattributes
    1.74 kB
    Upload preprocessed_data.json about 1 year ago
  • README.md
    2.4 kB
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  • answer_mapping.json
    289 MB
    xet
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  • class_info.json
    137 MB
    xet
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  • config.json
    930 Bytes
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  • merges.txt
    456 kB
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  • model.safetensors
    499 MB
    xet
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  • preprocessed_data.json
    138 MB
    xet
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  • special_tokens_map.json
    280 Bytes
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  • tokenizer.json
    3.56 MB
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  • tokenizer_config.json
    1.25 kB
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  • training_args.bin
    5.37 kB
    xet
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  • training_data.json
    289 MB
    xet
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  • vocab.json
    798 kB
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