Instructions to use eeeebbb2/9d1a7b67-12b4-403c-af41-93b2632941ac with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/9d1a7b67-12b4-403c-af41-93b2632941ac with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "eeeebbb2/9d1a7b67-12b4-403c-af41-93b2632941ac") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from eeeebbb2/9d1a7b67-12b4-403c-af41-93b2632941ac: direct link, hf CLI and curl.
- Browser
- Download file 646 MB
-
https://huggingface.co/eeeebbb2/9d1a7b67-12b4-403c-af41-93b2632941ac/resolve/4b31df1a7fe1d4659d6a172f88998184a4c3f3b1/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://eeeebbb2/9d1a7b67-12b4-403c-af41-93b2632941ac@4b31df1a7fe1d4659d6a172f88998184a4c3f3b1/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/eeeebbb2/9d1a7b67-12b4-403c-af41-93b2632941ac/resolve/4b31df1a7fe1d4659d6a172f88998184a4c3f3b1/last-checkpoint/optimizer.pt
646 MB
- Xet hash:
- 4184da73e92a464e038cd8967ae3c13a6f808b551a1d7362df369a4a9b31025e
- Size of remote file:
- 646 MB
- SHA256:
- 9bf219203169155f0ba49692dda7b173b05527cc5ec37b5523af619e2b9d80d6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.