Instructions to use ToBeWithYou/MBTI_ESFP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ToBeWithYou/MBTI_ESFP 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_ESFP") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-500/optimizer.pt from ToBeWithYou/MBTI_ESFP: direct link, hf CLI and curl.
- Browser
- Download file 160 MB
-
https://huggingface.co/ToBeWithYou/MBTI_ESFP/resolve/main/checkpoint-500/optimizer.pt
- Command line
-
hf download hf://ToBeWithYou/MBTI_ESFP/checkpoint-500/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ToBeWithYou/MBTI_ESFP/resolve/main/checkpoint-500/optimizer.pt
160 MB
- Xet hash:
- 5eb4aa7c467fd5dc76fa689bb8a180d5549eb97e4e6f8ce9223f3909886b00b6
- Size of remote file:
- 160 MB
- SHA256:
- 7626d17ccec98df27f0fd5304471445231e96ea0dfa38d2e1b698e4d2ad6057f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.