Instructions to use haraygese/fastchat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use haraygese/fastchat with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("lmsys/fastchat-t5-3b-v1.0") model = PeftModel.from_pretrained(base_model, "haraygese/fastchat") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e71dfeaaed60686379f113797b3b4f96af8851fd0855bc7aa5986c3c84395f5e
- Size of remote file:
- 37.9 MB
- SHA256:
- add5125130e9c5d93dcf290f6e6811fdb7bc0e0bd63e5df120d416269c2237f9
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