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STUDENT-135080
/
NLP_

Text Classification
Transformers
Safetensors
English
bert
BERT
finance
SENTIMENT-ANALYSIS
NLP
Model card Files Files and versions
xet
Community

Instructions to use STUDENT-135080/NLP_ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use STUDENT-135080/NLP_ with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="STUDENT-135080/NLP_")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("STUDENT-135080/NLP_")
    model = AutoModelForSequenceClassification.from_pretrained("STUDENT-135080/NLP_")
  • Notebooks
  • Google Colab
  • Kaggle
NLP_
438 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
STUDENT-135080's picture
STUDENT-135080
Update README.md
5059e93 verified 14 days ago
  • .gitattributes
    1.52 kB
    initial commit 17 days ago
  • README.md
    121 Bytes
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  • config.json
    841 Bytes
    Upload 5 files 14 days ago
  • model.safetensors
    438 MB
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer_config.json
    1.27 kB
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  • vocab.txt
    232 kB
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