Instructions to use Alphatao/eb388abe-f39e-45c1-9135-7f9e601a8fa3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Alphatao/eb388abe-f39e-45c1-9135-7f9e601a8fa3 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, "Alphatao/eb388abe-f39e-45c1-9135-7f9e601a8fa3") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from Alphatao/eb388abe-f39e-45c1-9135-7f9e601a8fa3: direct link, hf CLI and curl.
- Browser
- Download file 671 MB
-
https://huggingface.co/Alphatao/eb388abe-f39e-45c1-9135-7f9e601a8fa3/resolve/main/adapter_model.bin
- Command line
-
hf download hf://Alphatao/eb388abe-f39e-45c1-9135-7f9e601a8fa3/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/Alphatao/eb388abe-f39e-45c1-9135-7f9e601a8fa3/resolve/main/adapter_model.bin
671 MB
- Xet hash:
- aece4870e796a2050d7799c6ec3d151544bcfee38b56b34a56581f5f2ae3238f
- Size of remote file:
- 671 MB
- SHA256:
- ee4cca529eb9bbea7878f9cac8e246defcee4aae8bed79ff87bc17bf728093ee
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.