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Driw0x
/
my_awesome_model

Text Classification
Transformers
Safetensors
English
distilbert
Generated from Trainer
sentiment-analysis
fine-tuned
huggingface-course
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Driw0x/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Driw0x/my_awesome_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Driw0x/my_awesome_model")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Driw0x/my_awesome_model")
    model = AutoModelForSequenceClassification.from_pretrained("Driw0x/my_awesome_model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
my_awesome_model
269 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Driw0x's picture
Driw0x
Update README.md
777bb82 verified 6 days ago
  • .gitattributes
    1.52 kB
    initial commit 6 days ago
  • README.md
    5.1 kB
    Update README.md 6 days ago
  • config.json
    784 Bytes
    Training in progress, epoch 1 6 days ago
  • model.safetensors
    268 MB
    xet
    End of training 6 days ago
  • tokenizer.json
    711 kB
    Training in progress, epoch 1 6 days ago
  • tokenizer_config.json
    351 Bytes
    Training in progress, epoch 1 6 days ago
  • training_args.bin
    5.2 kB
    xet
    Training in progress, epoch 1 6 days ago