Instructions to use laquythang/c63ae018-2509-4e3c-a76c-a24c918c49ef with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/c63ae018-2509-4e3c-a76c-a24c918c49ef with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "laquythang/c63ae018-2509-4e3c-a76c-a24c918c49ef") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from laquythang/c63ae018-2509-4e3c-a76c-a24c918c49ef: direct link, hf CLI and curl.
- Browser
- Download file 21.4 kB
-
https://huggingface.co/laquythang/c63ae018-2509-4e3c-a76c-a24c918c49ef/resolve/main/adapter_model.bin
- Command line
-
hf download hf://laquythang/c63ae018-2509-4e3c-a76c-a24c918c49ef/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/laquythang/c63ae018-2509-4e3c-a76c-a24c918c49ef/resolve/main/adapter_model.bin
21.4 kB
- Xet hash:
- a97452bd0b2edb81cbff7c6f39c029ee428488c9796e035759dd7bdc41c919d6
- Size of remote file:
- 21.4 kB
- SHA256:
- 13c3f5c50b9bb78895a5319c29d4c16866de8da6b3181d1c6b8dd06d27f8985f
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