Instructions to use nttx/169cb175-c09e-41d4-ab0b-d7856c24640a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/169cb175-c09e-41d4-ab0b-d7856c24640a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.1-Storm-8B") model = PeftModel.from_pretrained(base_model, "nttx/169cb175-c09e-41d4-ab0b-d7856c24640a") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from nttx/169cb175-c09e-41d4-ab0b-d7856c24640a: direct link, hf CLI and curl.
- Browser
- Download file 671 MB
-
https://huggingface.co/nttx/169cb175-c09e-41d4-ab0b-d7856c24640a/resolve/main/adapter_model.bin
- Command line
-
hf download hf://nttx/169cb175-c09e-41d4-ab0b-d7856c24640a/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/nttx/169cb175-c09e-41d4-ab0b-d7856c24640a/resolve/main/adapter_model.bin
671 MB
- Xet hash:
- c7477e2fc5ff4dc2843c6faea1dfa41c8184ca7267fa897fb4eaf41e5aa475d8
- Size of remote file:
- 671 MB
- SHA256:
- dfd233e31012bb7f94df1b7fef917b0214915c906120413cb3b5f3f7a40e8d4c
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