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 last-checkpoint/trainer_state.json from ngocquangt2k46/1b054327-a6b9-45e0-98ef-2d5fb503dfb8: direct link, hf CLI and curl.
- Browser
- Download file 5.09 kB
-
https://huggingface.co/ngocquangt2k46/1b054327-a6b9-45e0-98ef-2d5fb503dfb8/resolve/main/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://ngocquangt2k46/1b054327-a6b9-45e0-98ef-2d5fb503dfb8/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/ngocquangt2k46/1b054327-a6b9-45e0-98ef-2d5fb503dfb8/resolve/main/last-checkpoint/trainer_state.json
5.09 kB
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