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jab11769
/
results

Text Classification
Transformers
Safetensors
camembert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use jab11769/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jab11769/results with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="jab11769/results")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("jab11769/results")
    model = AutoModelForSequenceClassification.from_pretrained("jab11769/results", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
results
424 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
jab11769's picture
jab11769
Sentiment analysis for stock news
4a0a1b5 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    2.51 kB
    Sentiment analysis for stock news over 1 year ago
  • config.json
    925 Bytes
    Sentiment analysis for stock news over 1 year ago
  • model.safetensors
    421 MB
    xet
    Sentiment analysis for stock news over 1 year ago
  • sentencepiece.bpe.model
    905 kB
    xet
    Sentiment analysis for stock news over 1 year ago
  • special_tokens_map.json
    365 Bytes
    Sentiment analysis for stock news over 1 year ago
  • tokenizer.json
    2.18 MB
    Sentiment analysis for stock news over 1 year ago
  • tokenizer_config.json
    1.83 kB
    Sentiment analysis for stock news over 1 year ago
  • training_args.bin
    5.3 kB
    xet
    Sentiment analysis for stock news over 1 year ago