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grexit-d
/
multipride_umberto_sent_label

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

Instructions to use grexit-d/multipride_umberto_sent_label with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use grexit-d/multipride_umberto_sent_label with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="grexit-d/multipride_umberto_sent_label")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("grexit-d/multipride_umberto_sent_label")
    model = AutoModelForSequenceClassification.from_pretrained("grexit-d/multipride_umberto_sent_label")
  • Notebooks
  • Google Colab
  • Kaggle
multipride_umberto_sent_label
448 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
grexit-d's picture
grexit-d
End of training
b896439 verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    2.07 kB
    End of training 7 months ago
  • config.json
    721 Bytes
    Training in progress, epoch 1 7 months ago
  • model.safetensors
    443 MB
    xet
    End of training 7 months ago
  • sentencepiece.bpe.model
    794 kB
    xet
    Training in progress, epoch 1 7 months ago
  • special_tokens_map.json
    374 Bytes
    Training in progress, epoch 1 7 months ago
  • tokenizer.json
    4.34 MB
    Training in progress, epoch 1 7 months ago
  • tokenizer_config.json
    1.82 kB
    Training in progress, epoch 1 7 months ago
  • training_args.bin
    5.84 kB
    xet
    Training in progress, epoch 1 7 months ago