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fergusq
/
finbert-finnsentiment

Text Classification
Transformers
PyTorch
Safetensors
Finnish
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
3

Instructions to use fergusq/finbert-finnsentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use fergusq/finbert-finnsentiment with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="fergusq/finbert-finnsentiment")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("fergusq/finbert-finnsentiment")
    model = AutoModelForSequenceClassification.from_pretrained("fergusq/finbert-finnsentiment", device_map="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
finbert-finnsentiment
998 MB
Ctrl+K
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  • 3 contributors
History: 9 commits
fergusq's picture
fergusq
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#3)
836116f over 3 years ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model (#3) over 3 years ago
  • README.md
    748 Bytes
    Added license over 3 years ago
  • config.json
    795 Bytes
    improved label names almost 5 years ago
  • model.safetensors
    498 MB
    xet
    Adding `safetensors` variant of this model (#3) over 3 years ago
  • pytorch_model.bin
    498 MB
    xet
    added model files almost 5 years ago
  • tokenizer.json
    816 kB
    added tokenizer files almost 5 years ago
  • tokenizer_config.json
    29 Bytes
    added tokenizer files almost 5 years ago
  • vocab.txt
    424 kB
    added tokenizer files almost 5 years ago