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kallacharanteja
/
mt5-small-finetuned-hard

PEFT
Safetensors
Transformers
lora
Model card Files Files and versions
xet
Community

Instructions to use kallacharanteja/mt5-small-finetuned-hard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use kallacharanteja/mt5-small-finetuned-hard with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForSeq2SeqLM
    
    base_model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-small")
    model = PeftModel.from_pretrained(base_model, "kallacharanteja/mt5-small-finetuned-hard")
  • Transformers

    How to use kallacharanteja/mt5-small-finetuned-hard with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("kallacharanteja/mt5-small-finetuned-hard", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mt5-small-finetuned-hard
1.04 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
kallacharanteja's picture
kallacharanteja
hard_final โ€” 3 epochs done
3c7abc8 verified 3 months ago
  • .gitattributes
    1.57 kB
    Training in progress, step 500 3 months ago
  • README.md
    1.55 kB
    Model save 3 months ago
  • adapter_config.json
    962 Bytes
    Training in progress, step 500 3 months ago
  • adapter_model.safetensors
    1.03 GB
    xet
    Model save 3 months ago
  • tokenizer.json
    16 MB
    xet
    Training in progress, step 500 3 months ago
  • tokenizer_config.json
    304 Bytes
    Training in progress, step 500 3 months ago
  • trainer_state.json
    6.67 kB
    hard_final โ€” 3 epochs done 3 months ago
  • training_args.bin
    5.46 kB
    xet
    Training in progress, step 500 3 months ago