Instructions to use myhaaaaaaa/6190a02c-27aa-4da4-9ef7-46a9bdca7b71 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use myhaaaaaaa/6190a02c-27aa-4da4-9ef7-46a9bdca7b71 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("jhflow/mistral7b-lora-multi-turn-v2") model = PeftModel.from_pretrained(base_model, "myhaaaaaaa/6190a02c-27aa-4da4-9ef7-46a9bdca7b71") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84a309b9d31aa847c8a7350aaca745b3b55802c139565ad4c0e44e6497f3e7c7
- Size of remote file:
- 83.9 MB
- SHA256:
- e59d78526b108649e7272a597620e37624f4db99001680182fd47c98544094ae
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.