Instructions to use jysssacc/t5-base_lora_lr5e-05_bs2_epoch1_wd0.01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jysssacc/t5-base_lora_lr5e-05_bs2_epoch1_wd0.01 with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("t5-base") model = PeftModel.from_pretrained(base_model, "jysssacc/t5-base_lora_lr5e-05_bs2_epoch1_wd0.01") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f859b1ad39265293bda6f52ff9f27dd503a7213a7c1fca2ba6c54586206d8ad
- Size of remote file:
- 4.22 kB
- SHA256:
- 53d288114bf2483d65227281f6456fa92cf5a7e37425ee9141257916043183ae
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