Instructions to use prxy5605/d4088529-3779-475d-b1f3-8bd70ea146cb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5605/d4088529-3779-475d-b1f3-8bd70ea146cb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-llama-fast-tokenizer") model = PeftModel.from_pretrained(base_model, "prxy5605/d4088529-3779-475d-b1f3-8bd70ea146cb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 720ef018b828d89602455785f839be7452ea1e35dfaee147a7015df5c72d0fc0
- Size of remote file:
- 6.84 kB
- SHA256:
- 9755b6a50ce0c8ef9f087feacbfc4a61b0b7b3bf0f84f79fbacbebfd84f7b493
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.