Instructions to use duyphu/8d1d62ef-b479-e4b6-f0f5-47e0c628a5fc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use duyphu/8d1d62ef-b479-e4b6-f0f5-47e0c628a5fc 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, "duyphu/8d1d62ef-b479-e4b6-f0f5-47e0c628a5fc") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from duyphu/8d1d62ef-b479-e4b6-f0f5-47e0c628a5fc: direct link, hf CLI and curl.
- Browser
- Download file 17.6 MB
-
https://huggingface.co/duyphu/8d1d62ef-b479-e4b6-f0f5-47e0c628a5fc/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://duyphu/8d1d62ef-b479-e4b6-f0f5-47e0c628a5fc/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/duyphu/8d1d62ef-b479-e4b6-f0f5-47e0c628a5fc/resolve/main/adapter_model.safetensors
17.6 MB
- Xet hash:
- bdf86038222517eb3d1ef5809e52516467bd9323c315f316e236efc1592bfc93
- Size of remote file:
- 17.6 MB
- SHA256:
- 84fdc2564f162dfe8b51ee5abf5112ad88aff5ff2e2d33ac411698ff515554f6
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