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andyP
/
ro-sentiment-01

Text Classification
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use andyP/ro-sentiment-01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use andyP/ro-sentiment-01 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="andyP/ro-sentiment-01")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("andyP/ro-sentiment-01")
    model = AutoModelForSequenceClassification.from_pretrained("andyP/ro-sentiment-01")
  • Notebooks
  • Google Colab
  • Kaggle
ro-sentiment-01
1.38 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
andyP's picture
andyP
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d7ac1e0 almost 3 years ago
  • .gitattributes
    1.52 kB
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  • config.json
    781 Bytes
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  • optimizer.pt
    921 MB
    xet
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  • pytorch_model.bin
    460 MB
    xet
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  • rng_state.pth
    14.6 kB
    xet
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  • scheduler.pt
    627 Bytes
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    842 kB
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  • tokenizer_config.json
    367 Bytes
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  • trainer_state.json
    927 Bytes
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  • training_args.bin
    3.96 kB
    xet
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  • vocab.txt
    245 kB
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