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Ct1tz
/
Codebert-Base-B2D4G5

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

Instructions to use Ct1tz/Codebert-Base-B2D4G5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Ct1tz/Codebert-Base-B2D4G5 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Ct1tz/Codebert-Base-B2D4G5")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Ct1tz/Codebert-Base-B2D4G5")
    model = AutoModelForSequenceClassification.from_pretrained("Ct1tz/Codebert-Base-B2D4G5")
  • Notebooks
  • Google Colab
  • Kaggle
Codebert-Base-B2D4G5
1.5 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
Ct1tz's picture
Ct1tz
Update README.md
16e2129 verified 12 months ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    313 Bytes
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  • config.json
    991 Bytes
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  • merges.txt
    456 kB
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  • model.safetensors
    499 MB
    xet
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  • optimizer.pt
    997 MB
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  • rng_state.pth
    14.2 kB
    xet
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  • scheduler.pt
    1.06 kB
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  • special_tokens_map.json
    958 Bytes
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  • tokenizer.json
    3.56 MB
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  • tokenizer_config.json
    1.25 kB
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  • trainer_state.json
    24.2 kB
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  • training_args.bin
    5.24 kB
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  • vocab.json
    798 kB
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