Instructions to use Satish678/t5-large_PREFIX_TUNING_req2case with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Satish678/t5-large_PREFIX_TUNING_req2case with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("t5-large") model = PeftModel.from_pretrained(base_model, "Satish678/t5-large_PREFIX_TUNING_req2case") - Notebooks
- Google Colab
- Kaggle
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Download README.md from Satish678/t5-large_PREFIX_TUNING_req2case: direct link, hf CLI and curl.
- Browser
- Download file 88 Bytes
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https://huggingface.co/Satish678/t5-large_PREFIX_TUNING_req2case/resolve/main/README.md
- Command line
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hf download hf://Satish678/t5-large_PREFIX_TUNING_req2case/README.md
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curl -L -o README.md https://huggingface.co/Satish678/t5-large_PREFIX_TUNING_req2case/resolve/main/README.md
88 Bytes
| library_name: peft | |
| ## Training procedure | |
| ### Framework versions | |
| - PEFT 0.4.0 | |