Instructions to use nhoxinh/36e0a5aa-e95c-40df-824a-032d2655c1c2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhoxinh/36e0a5aa-e95c-40df-824a-032d2655c1c2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Intel/neural-chat-7b-v3-3") model = PeftModel.from_pretrained(base_model, "nhoxinh/36e0a5aa-e95c-40df-824a-032d2655c1c2") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nhoxinh/36e0a5aa-e95c-40df-824a-032d2655c1c2: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/nhoxinh/36e0a5aa-e95c-40df-824a-032d2655c1c2/resolve/44c123d9e345328ade8adc7126131fa1ea18ea53/training_args.bin
- Command line
-
hf download hf://nhoxinh/36e0a5aa-e95c-40df-824a-032d2655c1c2@44c123d9e345328ade8adc7126131fa1ea18ea53/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/nhoxinh/36e0a5aa-e95c-40df-824a-032d2655c1c2/resolve/44c123d9e345328ade8adc7126131fa1ea18ea53/training_args.bin
6.78 kB
- Xet hash:
- 4d3e1148d5eb41192f4797d669cd3bea7367087c839d11e9654ea258f3d783dc
- Size of remote file:
- 6.78 kB
- SHA256:
- 996fcdfeba22fac0c24ea3487c811ee2a81fd3c7596efe6f909c30f496721d96
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