Instructions to use duyphu/e514f4c6-15bd-4743-8388-5f183bc3f4fb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use duyphu/e514f4c6-15bd-4743-8388-5f183bc3f4fb 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, "duyphu/e514f4c6-15bd-4743-8388-5f183bc3f4fb") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from duyphu/e514f4c6-15bd-4743-8388-5f183bc3f4fb: direct link, hf CLI and curl.
- Browser
- Download file 37.5 kB
-
https://huggingface.co/duyphu/e514f4c6-15bd-4743-8388-5f183bc3f4fb/resolve/main/adapter_model.bin
- Command line
-
hf download hf://duyphu/e514f4c6-15bd-4743-8388-5f183bc3f4fb/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/duyphu/e514f4c6-15bd-4743-8388-5f183bc3f4fb/resolve/main/adapter_model.bin
37.5 kB
- Xet hash:
- 1e03339edbf1891bb9bb3b93915b68066a9e5b198beed2824c229008e6c33d48
- Size of remote file:
- 37.5 kB
- SHA256:
- 3f0ebae252372b9bea400fbc77c25a840e7934bd5d93c9dbbc1c14e5101eb355
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