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raghavv2710
/
sentiment-roberta-base

Text Classification
Transformers
Safetensors
English
roberta
sentiment-analysis
custom-dataset
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use raghavv2710/sentiment-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use raghavv2710/sentiment-roberta-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="raghavv2710/sentiment-roberta-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("raghavv2710/sentiment-roberta-base")
    model = AutoModelForSequenceClassification.from_pretrained("raghavv2710/sentiment-roberta-base")
  • Notebooks
  • Google Colab
  • Kaggle
sentiment-roberta-base
503 MB
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  • 1 contributor
History: 7 commits
raghavv2710's picture
raghavv2710
Update README.md
d307af6 verified 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    1.65 kB
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  • config.json
    700 Bytes
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  • merges.txt
    456 kB
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  • model.safetensors
    499 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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  • vocab.json
    798 kB
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