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Vansh180
/
FinBERT-India-v1

Text Classification
Transformers
Safetensors
English
bert
finance
india
sentiment-analysis
finbert
stock-market
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Vansh180/FinBERT-India-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Vansh180/FinBERT-India-v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Vansh180/FinBERT-India-v1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Vansh180/FinBERT-India-v1")
    model = AutoModelForSequenceClassification.from_pretrained("Vansh180/FinBERT-India-v1")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
FinBERT-India-v1
440 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
Vansh180's picture
Vansh180
Update README.md
7396d39 verified 8 months ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    4.79 kB
    Update README.md 8 months ago
  • config.json
    804 Bytes
    Upload BertForSequenceClassification 8 months ago
  • model.safetensors
    439 MB
    xet
    Upload BertForSequenceClassification 8 months ago
  • special_tokens_map.json
    695 Bytes
    Upload tokenizer 8 months ago
  • tokenizer.json
    712 kB
    Upload tokenizer 8 months ago
  • tokenizer_config.json
    1.48 kB
    Upload tokenizer 8 months ago
  • vocab.txt
    226 kB
    Upload tokenizer 8 months ago