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dimitarpg13
/
roberta-finetuned-wines-compound-query

Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use dimitarpg13/roberta-finetuned-wines-compound-query with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dimitarpg13/roberta-finetuned-wines-compound-query with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="dimitarpg13/roberta-finetuned-wines-compound-query")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("dimitarpg13/roberta-finetuned-wines-compound-query")
    model = AutoModelForSequenceClassification.from_pretrained("dimitarpg13/roberta-finetuned-wines-compound-query")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-finetuned-wines-compound-query
513 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 142 commits
dimitarpg13's picture
dimitarpg13
Model save
8b576f5 verified about 1 year ago
  • logs
    Model save about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    15.6 kB
    Model save about 1 year ago
  • config.json
    103 kB
    Training in progress, epoch 1 about 1 year ago
  • merges.txt
    456 kB
    Model save about 1 year ago
  • model.safetensors
    507 MB
    xet
    Model save about 1 year ago
  • special_tokens_map.json
    280 Bytes
    Model save about 1 year ago
  • tokenizer.json
    3.56 MB
    Model save about 1 year ago
  • tokenizer_config.json
    1.25 kB
    Model save about 1 year ago
  • training_args.bin
    5.37 kB
    xet
    Training in progress, epoch 1 about 1 year ago
  • vocab.json
    798 kB
    Model save about 1 year ago