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gokarn09
/
my_distilbert_model

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
NLP
Language-Model
Sentiment-Analysis
Analysis
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use gokarn09/my_distilbert_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gokarn09/my_distilbert_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="gokarn09/my_distilbert_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("gokarn09/my_distilbert_model")
    model = AutoModelForSequenceClassification.from_pretrained("gokarn09/my_distilbert_model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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Preview of files found in this repository
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    2.56 kB
    Update README.md over 1 year ago
  • config.json
    735 Bytes
    Training in progress, epoch 1 over 1 year ago
  • model.safetensors
    268 MB
    xet
    End of training over 1 year ago
  • my_distilbert_finetuned_calling.ipynb
    31.2 kB
    Upload my_distilbert_finetuned_calling.ipynb over 1 year ago
  • special_tokens_map.json
    125 Bytes
    End of training over 1 year ago
  • tokenizer.json
    711 kB
    End of training over 1 year ago
  • tokenizer_config.json
    1.23 kB
    End of training over 1 year ago
  • training_args.bin
    5.3 kB
    xet
    Training in progress, epoch 1 over 1 year ago
  • vocab.txt
    232 kB
    End of training over 1 year ago