Instructions to use nhoxinh/b028158f-a8ec-49ba-ae5d-f635f1576642 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhoxinh/b028158f-a8ec-49ba-ae5d-f635f1576642 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, "nhoxinh/b028158f-a8ec-49ba-ae5d-f635f1576642") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nhoxinh/b028158f-a8ec-49ba-ae5d-f635f1576642: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/nhoxinh/b028158f-a8ec-49ba-ae5d-f635f1576642/resolve/main/training_args.bin
- Command line
-
hf download hf://nhoxinh/b028158f-a8ec-49ba-ae5d-f635f1576642/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nhoxinh/b028158f-a8ec-49ba-ae5d-f635f1576642/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- f16301ad3c1dc4a03b2b30b2b3a0c27e2fa31fdade65a0c3809006ec8bd550c3
- Size of remote file:
- 6.78 kB
- SHA256:
- 868c1e5a5cdf1538fa390a4ebdf6e18b7e018f485e8187031eafc007e6e452b9
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