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eprasad
/
distilled-t5-small

Text Classification
Transformers
Safetensors
llama
Trained with AutoTrain
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use eprasad/distilled-t5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use eprasad/distilled-t5-small with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="eprasad/distilled-t5-small")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("eprasad/distilled-t5-small")
    model = AutoModelForSequenceClassification.from_pretrained("eprasad/distilled-t5-small", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
distilled-t5-small / autotrain-data /validation
459 kB
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  • 1 contributor
History: 1 commit
eprasad's picture
eprasad
Upload folder using huggingface_hub
f8b70e0 verified about 1 year ago
  • data-00000-of-00001.arrow
    459 kB
    xet
    Upload folder using huggingface_hub about 1 year ago
  • dataset_info.json
    319 Bytes
    Upload folder using huggingface_hub about 1 year ago
  • state.json
    292 Bytes
    Upload folder using huggingface_hub about 1 year ago