Instructions to use error577/47615d62-b7f3-4efd-b567-61a937215b9f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/47615d62-b7f3-4efd-b567-61a937215b9f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/5255b81c-a162-4f3a-9a96-f4d344cb99c8") model = PeftModel.from_pretrained(base_model, "error577/47615d62-b7f3-4efd-b567-61a937215b9f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58a8279388bff3d94f53918078313005b897da2a9f98c010e4e3aeb21a15272c
- Size of remote file:
- 100 MB
- SHA256:
- e402de7f934409a04d80abd1aabc1a6de2b8edc3075c9365deb799a34445536d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.