Instructions to use duyphu/ce903330-4a0c-4825-9999-8943be9cc5f3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use duyphu/ce903330-4a0c-4825-9999-8943be9cc5f3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Hermes-3-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "duyphu/ce903330-4a0c-4825-9999-8943be9cc5f3") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from duyphu/ce903330-4a0c-4825-9999-8943be9cc5f3: direct link, hf CLI and curl.
- Browser
- Download file 84 MB
-
https://huggingface.co/duyphu/ce903330-4a0c-4825-9999-8943be9cc5f3/resolve/main/adapter_model.bin
- Command line
-
hf download hf://duyphu/ce903330-4a0c-4825-9999-8943be9cc5f3/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/duyphu/ce903330-4a0c-4825-9999-8943be9cc5f3/resolve/main/adapter_model.bin
84 MB
- Xet hash:
- c183f5090a10e2b7b5cd7c952517933f942bc42b8fd7683edb3418978bfd818f
- Size of remote file:
- 84 MB
- SHA256:
- 867215cfea8ea45085f231fb6e92e0e690b9b4e75a4a20ffc69cc29cab05361d
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