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.bin 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.bin
- Command line
-
hf download hf://ngocquangt2k46/1b054327-a6b9-45e0-98ef-2d5fb503dfb8/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/ngocquangt2k46/1b054327-a6b9-45e0-98ef-2d5fb503dfb8/resolve/main/adapter_model.bin
13.6 MB
- Xet hash:
- 272c240bc698a846f3571a65067e1804e6a907b6f181580ff4089c4a4e62f992
- Size of remote file:
- 13.6 MB
- SHA256:
- d3e0c8bcd8b69c84e99c7f3c451e4bb738c019dfd0daf4440366f3da4069c856
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