Instructions to use huiwonLee/sft_v4_reverse_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use huiwonLee/sft_v4_reverse_v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("davidkim205/nox-solar-10.7b-v4") model = PeftModel.from_pretrained(base_model, "huiwonLee/sft_v4_reverse_v2") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from huiwonLee/sft_v4_reverse_v2: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/huiwonLee/sft_v4_reverse_v2/resolve/main/training_args.bin
- Command line
-
hf download hf://huiwonLee/sft_v4_reverse_v2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/huiwonLee/sft_v4_reverse_v2/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- baa146a4fefc6e2ef7ee601f82c96aa59e0b31aa3729c5a398dfaa740d10c846
- Size of remote file:
- 4.92 kB
- SHA256:
- 95bfec5ea0d6ce418eccfe4c6b2b0d76ca571747dfbc7c1205e458bc7a1bccc5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.