Instructions to use tuantmdev/628afe34-ea8c-4443-b5f7-a6e1af539965 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuantmdev/628afe34-ea8c-4443-b5f7-a6e1af539965 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "tuantmdev/628afe34-ea8c-4443-b5f7-a6e1af539965") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from tuantmdev/628afe34-ea8c-4443-b5f7-a6e1af539965: direct link, hf CLI and curl.
- Browser
- Download file 17.6 MB
-
https://huggingface.co/tuantmdev/628afe34-ea8c-4443-b5f7-a6e1af539965/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://tuantmdev/628afe34-ea8c-4443-b5f7-a6e1af539965/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/tuantmdev/628afe34-ea8c-4443-b5f7-a6e1af539965/resolve/main/adapter_model.safetensors
17.6 MB
- Xet hash:
- 771b1f84d2dbab91cbda266b7e331d2a17116747df887380b44b7e6ad4e113c0
- Size of remote file:
- 17.6 MB
- SHA256:
- 85a0e0890d2a06a47eabb8c638be032cf169a762c745f8c2ea8c370c8dd0e4df
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