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osma77
/
banking77_fr_intent_model_v1

Text Classification
Transformers
Safetensors
xlm-roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use osma77/banking77_fr_intent_model_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use osma77/banking77_fr_intent_model_v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="osma77/banking77_fr_intent_model_v1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("osma77/banking77_fr_intent_model_v1")
    model = AutoModelForSequenceClassification.from_pretrained("osma77/banking77_fr_intent_model_v1")
  • Notebooks
  • Google Colab
  • Kaggle
banking77_fr_intent_model_v1
2.26 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
osma77's picture
osma77
Upload TextClassificationPipeline
b73637d verified 12 months ago
  • .gitattributes
    1.57 kB
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  • README.md
    5.17 kB
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  • config.json
    6.32 kB
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  • model.safetensors
    2.24 GB
    xet
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  • sentencepiece.bpe.model
    5.07 MB
    xet
    Upload TextClassificationPipeline 12 months ago
  • special_tokens_map.json
    964 Bytes
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  • tokenizer.json
    17.1 MB
    xet
    Upload TextClassificationPipeline 12 months ago
  • tokenizer_config.json
    1.2 kB
    Upload TextClassificationPipeline 12 months ago