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Laksh-Mendpara
/
MLOps-Assignment-3

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

Instructions to use Laksh-Mendpara/MLOps-Assignment-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Laksh-Mendpara/MLOps-Assignment-3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Laksh-Mendpara/MLOps-Assignment-3")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Laksh-Mendpara/MLOps-Assignment-3")
    model = AutoModelForSequenceClassification.from_pretrained("Laksh-Mendpara/MLOps-Assignment-3")
  • Notebooks
  • Google Colab
  • Kaggle
MLOps-Assignment-3
502 MB
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  • 1 contributor
History: 4 commits
Laksh-Mendpara's picture
Laksh-Mendpara
Add tokenizer
5addc1c verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    5.17 kB
    Upload tokenizer 3 months ago
  • config.json
    1.18 kB
    Fine-tuned DistilBERT for book genre classification 3 months ago
  • model.safetensors
    499 MB
    xet
    Fine-tuned DistilBERT for book genre classification 3 months ago
  • tokenizer.json
    3.56 MB
    Add tokenizer 3 months ago
  • tokenizer_config.json
    359 Bytes
    Add tokenizer 3 months ago