Instructions to use stringtron/mdel-aurora-test-Mike with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use stringtron/mdel-aurora-test-Mike with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("aurora-m/aurora-m-v0.1") model = PeftModel.from_pretrained(base_model, "stringtron/mdel-aurora-test-Mike") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-241/optimizer.pt from stringtron/mdel-aurora-test-Mike: direct link, hf CLI and curl.
- Browser
- Download file 827 MB
-
https://huggingface.co/stringtron/mdel-aurora-test-Mike/resolve/main/checkpoint-241/optimizer.pt
- Command line
-
hf download hf://stringtron/mdel-aurora-test-Mike/checkpoint-241/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/stringtron/mdel-aurora-test-Mike/resolve/main/checkpoint-241/optimizer.pt
827 MB
- Xet hash:
- d7939dae8ad393e9a3d0fd8b65615c154f287a5f870ff2cf269de4f13e8d2d4e
- Size of remote file:
- 827 MB
- SHA256:
- 1c04fadc43d9bcc0ca03b98c73cfbd6d9cb32802e5c019bc715566a20cb50b61
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