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APJ23
/
MultiHeaded_Sentiment_Analysis_Model

Text Classification
Transformers
PyTorch
bert
code
Model card Files Files and versions
xet
Community
1

Instructions to use APJ23/MultiHeaded_Sentiment_Analysis_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use APJ23/MultiHeaded_Sentiment_Analysis_Model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="APJ23/MultiHeaded_Sentiment_Analysis_Model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("APJ23/MultiHeaded_Sentiment_Analysis_Model")
    model = AutoModelForSequenceClassification.from_pretrained("APJ23/MultiHeaded_Sentiment_Analysis_Model")
  • Notebooks
  • Google Colab
  • Kaggle
MultiHeaded_Sentiment_Analysis_Model
434 MB
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  • 2 contributors
History: 22 commits
APJ23's picture
APJ23
Delete vocab (1).txt
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  • .gitattributes
    1.48 kB
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  • README.md
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  • config.json
    993 Bytes
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  • pytorch_model.bin
    433 MB
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer_config.json
    367 Bytes
    Rename tokenizer_config (1).json to tokenizer_config.json almost 3 years ago
  • vocab.txt
    213 kB
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