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Stive-G
/
avissense-distilcamembert

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

Instructions to use Stive-G/avissense-distilcamembert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Stive-G/avissense-distilcamembert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Stive-G/avissense-distilcamembert", device_map="auto")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Stive-G/avissense-distilcamembert")
    model = AutoModelForSequenceClassification.from_pretrained("Stive-G/avissense-distilcamembert", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
avissense-distilcamembert
276 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
Stive-G's picture
Stive-G
Upload tokenizer
8ec0897 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    5.17 kB
    Upload CamembertForSequenceClassification about 1 month ago
  • config.json
    992 Bytes
    Upload CamembertForSequenceClassification about 1 month ago
  • model.safetensors
    272 MB
    xet
    Upload CamembertForSequenceClassification about 1 month ago
  • sentencepiece.bpe.model
    811 kB
    xet
    Upload tokenizer about 1 month ago
  • special_tokens_map.json
    1.09 kB
    Upload tokenizer about 1 month ago
  • tokenizer.json
    2.42 MB
    Upload tokenizer about 1 month ago
  • tokenizer_config.json
    1.78 kB
    Upload tokenizer about 1 month ago