Instructions to use prxy5605/f7ed0bcf-e7af-43cc-acba-2d4ef6c42b7e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5605/f7ed0bcf-e7af-43cc-acba-2d4ef6c42b7e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("elyza/Llama-3-ELYZA-JP-8B") model = PeftModel.from_pretrained(base_model, "prxy5605/f7ed0bcf-e7af-43cc-acba-2d4ef6c42b7e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78fb94ecf9b4b4df288d2fff07a8304b52868391b53bf2e57c91d532c7779fe9
- Size of remote file:
- 671 MB
- SHA256:
- 2c4f7c634adc961b0e5c6cd3396a86f491dee7c9bc723a66bdf8c9d09f3e0ebd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.