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lucas-leme
/
FinBERT-PT-BR

Text Classification
Transformers
PyTorch
Portuguese
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
7

Instructions to use lucas-leme/FinBERT-PT-BR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lucas-leme/FinBERT-PT-BR with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="lucas-leme/FinBERT-PT-BR")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("lucas-leme/FinBERT-PT-BR")
    model = AutoModelForSequenceClassification.from_pretrained("lucas-leme/FinBERT-PT-BR", device_map="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
FinBERT-PT-BR
437 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
lucas-leme's picture
lucas-leme
Update README.md
c3bf75c verified over 2 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 4 years ago
  • README.md
    3.53 kB
    Update README.md over 2 years ago
  • config.json
    1.14 kB
    Upload 4 files over 3 years ago
  • pytorch_model.bin
    436 MB
    xet
    First comit almost 4 years ago
  • sentiment_index_and_economy.png
    65.4 kB
    Upload 4 files over 3 years ago
  • sentiment_inflation.png
    475 kB
    Upload 4 files over 3 years ago
  • special_tokens_map.json
    112 Bytes
    First comit almost 4 years ago
  • tokenizer.json
    438 kB
    First comit almost 4 years ago
  • tokenizer_config.json
    559 Bytes
    First comit almost 4 years ago
  • vocab.txt
    210 kB
    First comit almost 4 years ago