Instructions to use ngocquangt2k46/1b054327-a6b9-45e0-98ef-2d5fb503dfb8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ngocquangt2k46/1b054327-a6b9-45e0-98ef-2d5fb503dfb8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("JackFram/llama-160m") model = PeftModel.from_pretrained(base_model, "ngocquangt2k46/1b054327-a6b9-45e0-98ef-2d5fb503dfb8") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from ngocquangt2k46/1b054327-a6b9-45e0-98ef-2d5fb503dfb8: direct link, hf CLI and curl.
- Browser
- Download file 13.6 MB
-
https://huggingface.co/ngocquangt2k46/1b054327-a6b9-45e0-98ef-2d5fb503dfb8/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://ngocquangt2k46/1b054327-a6b9-45e0-98ef-2d5fb503dfb8/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/ngocquangt2k46/1b054327-a6b9-45e0-98ef-2d5fb503dfb8/resolve/main/adapter_model.safetensors
13.6 MB
- Xet hash:
- 87e3a43eb2ac8e46182a066846c7fdd7e782ef3975408a7f7bd08d0f72fd5396
- Size of remote file:
- 13.6 MB
- SHA256:
- afa25201670d43fd5da6cd9a97ade0bdf3d20da3e094171b5ad54c7a5a783f93
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