Instructions to use kokovova/956ff7da-caf6-4258-8ba2-fac5c897b10f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kokovova/956ff7da-caf6-4258-8ba2-fac5c897b10f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/CodeLlama-13b-hf-flash") model = PeftModel.from_pretrained(base_model, "kokovova/956ff7da-caf6-4258-8ba2-fac5c897b10f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7254b448700ec937fdb45396da1e7b07846ac21189e2640c077e2536605a6be7
- Size of remote file:
- 251 MB
- SHA256:
- 8a2b53a231e47c0278d0a862dfb97383658a18714b902375984ebe0a06c178f1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.