Instructions to use ToBeWithYou/MBTI_ISFJ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ToBeWithYou/MBTI_ISFJ with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("davidkim205/komt-llama2-7b-v1") model = PeftModel.from_pretrained(base_model, "ToBeWithYou/MBTI_ISFJ") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ToBeWithYou/MBTI_ISFJ: direct link, hf CLI and curl.
- Browser
- Download file 4.41 kB
-
https://huggingface.co/ToBeWithYou/MBTI_ISFJ/resolve/main/training_args.bin
- Command line
-
hf download hf://ToBeWithYou/MBTI_ISFJ/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ToBeWithYou/MBTI_ISFJ/resolve/main/training_args.bin
4.41 kB
- Xet hash:
- 379fcbaa56d329e137cac90e933a0123abf9edbea6ae55b5ee37a8e28ba50c2a
- Size of remote file:
- 4.41 kB
- SHA256:
- 03bfa0565a6f05866bcf943d32179000aeb04a42e024ec8124b95d06c127b1e0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.