Instructions to use surakarteh/c59b5744-9a83-446c-a62b-e03e3146f75b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use surakarteh/c59b5744-9a83-446c-a62b-e03e3146f75b 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, "surakarteh/c59b5744-9a83-446c-a62b-e03e3146f75b") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from surakarteh/c59b5744-9a83-446c-a62b-e03e3146f75b: direct link, hf CLI and curl.
- Browser
- Download file 839 MB
-
https://huggingface.co/surakarteh/c59b5744-9a83-446c-a62b-e03e3146f75b/resolve/main/adapter_model.bin
- Command line
-
hf download hf://surakarteh/c59b5744-9a83-446c-a62b-e03e3146f75b/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/surakarteh/c59b5744-9a83-446c-a62b-e03e3146f75b/resolve/main/adapter_model.bin
839 MB
- Xet hash:
- 9bb38f46d4b4f389938b7cfd24dcf7b6268f6fba07410db42c4194f20cb34211
- Size of remote file:
- 839 MB
- SHA256:
- f80f0af763f13b7298ddd1ed39def57e71ad844d17f4948ec69589de6321c0c8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.