Instructions to use chauhoang/7ffee866-c8fa-4d17-ab9e-07cbcbeca900 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/7ffee866-c8fa-4d17-ab9e-07cbcbeca900 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("echarlaix/tiny-random-mistral") model = PeftModel.from_pretrained(base_model, "chauhoang/7ffee866-c8fa-4d17-ab9e-07cbcbeca900") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from chauhoang/7ffee866-c8fa-4d17-ab9e-07cbcbeca900: direct link, hf CLI and curl.
- Browser
- Download file 31.1 kB
-
https://huggingface.co/chauhoang/7ffee866-c8fa-4d17-ab9e-07cbcbeca900/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://chauhoang/7ffee866-c8fa-4d17-ab9e-07cbcbeca900/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/chauhoang/7ffee866-c8fa-4d17-ab9e-07cbcbeca900/resolve/main/adapter_model.safetensors
31.1 kB
- Xet hash:
- 502125bdcaddb7ba76eb6aceff2dbde8440eba2a0c7d62fc3bcb586a89257762
- Size of remote file:
- 31.1 kB
- SHA256:
- c7eef3fedc5cf1cc5eb163b0fb4d936f5256c229ff83acbc3c79fe6f72a6b5ac
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