Instructions to use joedonino/zephyr-7b-radia-html-events-v9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use joedonino/zephyr-7b-radia-html-events-v9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-beta") model = PeftModel.from_pretrained(base_model, "joedonino/zephyr-7b-radia-html-events-v9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4971b3d33bc71835ff51ca6c91cea9dea7575438a0d066a9de6cb0198148819e
- Size of remote file:
- 218 MB
- SHA256:
- d5bb4d8822e66d2ef45667b7a4dc3fb54aad244d1f5818b0287e85a66658b9dc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.