Instructions to use ganghyeon/NLP_homework with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ganghyeon/NLP_homework with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B-Instruct") model = PeftModel.from_pretrained(base_model, "ganghyeon/NLP_homework") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from ganghyeon/NLP_homework: direct link, hf CLI and curl.
- Browser
- Download file 45.3 MB
-
https://huggingface.co/ganghyeon/NLP_homework/resolve/main/optimizer.pt
- Command line
-
hf download hf://ganghyeon/NLP_homework/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ganghyeon/NLP_homework/resolve/main/optimizer.pt
45.3 MB
- Xet hash:
- 7f85adc89bf581019a5bf2bd2bf0eeae0bf8427d4343c54b8048f0e1b3e1a9ee
- Size of remote file:
- 45.3 MB
- SHA256:
- e545c92e8a29e73b2a708438df82a773c90ac81fb95e3d77084344d71129ce4c
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