Instructions to use prxy5604/a3c52648-f93a-41de-8f41-b2cf5f485e8a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5604/a3c52648-f93a-41de-8f41-b2cf5f485e8a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("scb10x/llama-3-typhoon-v1.5-8b-instruct") model = PeftModel.from_pretrained(base_model, "prxy5604/a3c52648-f93a-41de-8f41-b2cf5f485e8a") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from prxy5604/a3c52648-f93a-41de-8f41-b2cf5f485e8a: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/prxy5604/a3c52648-f93a-41de-8f41-b2cf5f485e8a/resolve/main/tokenizer.json
- Command line
-
hf download hf://prxy5604/a3c52648-f93a-41de-8f41-b2cf5f485e8a/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/prxy5604/a3c52648-f93a-41de-8f41-b2cf5f485e8a/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- a2251c6bff2c6c00b2fb78308145dd8b18dab1926ac9430862919148bd324ccf
- Size of remote file:
- 17.2 MB
- SHA256:
- 2539802b4016767e5475c0fa774895f4c33683f7c2ed9df643a61279e9ef1bd2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.