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whyabhinay
/
fin_sentiment

Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use whyabhinay/fin_sentiment with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="whyabhinay/fin_sentiment")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("whyabhinay/fin_sentiment")
    model = AutoModelForSequenceClassification.from_pretrained("whyabhinay/fin_sentiment")
  • Notebooks
  • Google Colab
  • Kaggle
fin_sentiment
269 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
AbhiWhy59's picture
AbhiWhy59
update model card README.md
5615419 over 3 years ago
  • runs
    End of training over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • .gitignore
    13 Bytes
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  • README.md
    1.22 kB
    update model card README.md over 3 years ago
  • config.json
    769 Bytes
    End of training over 3 years ago
  • pytorch_model.bin
    268 MB
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    360 Bytes
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  • training_args.bin

    Detected Pickle imports (6)

    • "transformers.trainer_utils.HubStrategy",
    • "transformers.trainer_utils.SchedulerType",
    • "torch.device",
    • "transformers.training_args.OptimizerNames",
    • "transformers.training_args.TrainingArguments",
    • "transformers.trainer_utils.IntervalStrategy"

    How to fix it?

    3.44 kB
    xet
    End of training over 3 years ago
  • vocab.txt
    232 kB
    End of training over 3 years ago