Instructions to use Evan-Lin/SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Evan-Lin/SFT with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "Evan-Lin/SFT") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Evan-Lin/SFT: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/Evan-Lin/SFT/resolve/main/training_args.bin
- Command line
-
hf download hf://Evan-Lin/SFT/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Evan-Lin/SFT/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 9312265f3af03f804a60fe363f69b8053c035ad5a38fc7594cb5d592ec4e807f
- Size of remote file:
- 4.73 kB
- SHA256:
- 1c9182d11ab16eb332d97ea79712ee22d1f12628392ecdff12b6feb20eb78e6c
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