Instructions to use Fidlobabovic/T5-recs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Fidlobabovic/T5-recs with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("t5-base") model = PeftModel.from_pretrained(base_model, "Fidlobabovic/T5-recs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9a1f89e91b449b4cd746635ef80924afca9684b60d61c0a919019c774f77661
- Size of remote file:
- 5.05 kB
- SHA256:
- dccdccf9f076d61d4e27a0c66ed74eb5e46d003e8e6fa05464468f4a31f86eeb
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