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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
Ctrl+K
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  • 2 contributors
History: 15 commits
APJ23's picture
APJ23
Delete special_tokens_map.json
f3b6402 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    71 Bytes
    Update README.md about 3 years ago
  • pytorch_model.bin
    433 MB
    xet
    Upload pytorch_model.bin about 3 years ago
  • vocab.txt
    213 kB
    Upload 4 files about 3 years ago