Instructions to use mrHunghddddd/fd2c731e-c0cd-499c-8f32-85a244d98334 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mrHunghddddd/fd2c731e-c0cd-499c-8f32-85a244d98334 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, "mrHunghddddd/fd2c731e-c0cd-499c-8f32-85a244d98334") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from mrHunghddddd/fd2c731e-c0cd-499c-8f32-85a244d98334: direct link, hf CLI and curl.
- Browser
- Download file 83.9 MB
-
https://huggingface.co/mrHunghddddd/fd2c731e-c0cd-499c-8f32-85a244d98334/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://mrHunghddddd/fd2c731e-c0cd-499c-8f32-85a244d98334/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/mrHunghddddd/fd2c731e-c0cd-499c-8f32-85a244d98334/resolve/main/adapter_model.safetensors
83.9 MB
- Xet hash:
- c718a7614b8fc5b7b1d91cecd182f6196895d986acb4f24c82a4054ba1ef5889
- Size of remote file:
- 83.9 MB
- SHA256:
- 06fa03d20b9962547c6cd512686da52394a84028e05d4879ba7bc80605d5c6a0
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