Instructions to use duyphu/7a756b67-4517-44e5-816c-210c1c002eb7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use duyphu/7a756b67-4517-44e5-816c-210c1c002eb7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("peft-internal-testing/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "duyphu/7a756b67-4517-44e5-816c-210c1c002eb7") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from duyphu/7a756b67-4517-44e5-816c-210c1c002eb7: direct link, hf CLI and curl.
- Browser
- Download file 21.4 kB
-
https://huggingface.co/duyphu/7a756b67-4517-44e5-816c-210c1c002eb7/resolve/main/adapter_model.bin
- Command line
-
hf download hf://duyphu/7a756b67-4517-44e5-816c-210c1c002eb7/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/duyphu/7a756b67-4517-44e5-816c-210c1c002eb7/resolve/main/adapter_model.bin
21.4 kB
- Xet hash:
- 04029e9a3aecf05f6fe7fc42be501eb29264db7167c13d0e58d47d491829cdc6
- Size of remote file:
- 21.4 kB
- SHA256:
- b91ed9ed7c25b94979402b3bd30ad51264383bea40ab3f9857d082396ffa04cf
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