Instructions to use FirstPotatoCoder/Lisa-243 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FirstPotatoCoder/Lisa-243 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/csm-1b") model = PeftModel.from_pretrained(base_model, "FirstPotatoCoder/Lisa-243") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef471e4e29eea3d7a3f55a1ff351e8fd993ef8a101ccd0a14fbdb940891139e2
- Size of remote file:
- 17.2 MB
- SHA256:
- 529d18ee0f18a8a446ae0b4310c6675823231b366a7ea3fddfc488cf7f2277d6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.