Instructions to use GreenGenomicsLab/Mambalga-revgra_43500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use GreenGenomicsLab/Mambalga-revgra_43500 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("state-spaces/mamba-130m-hf") model = PeftModel.from_pretrained(base_model, "GreenGenomicsLab/Mambalga-revgra_43500") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from GreenGenomicsLab/Mambalga-revgra_43500: direct link, hf CLI and curl.
- Browser
- Download file 15.3 MB
-
https://huggingface.co/GreenGenomicsLab/Mambalga-revgra_43500/resolve/main/optimizer.pt
- Command line
-
hf download hf://GreenGenomicsLab/Mambalga-revgra_43500/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/GreenGenomicsLab/Mambalga-revgra_43500/resolve/main/optimizer.pt
15.3 MB
- Xet hash:
- 59a702e9172e7b0778351b3ae998017ba11fff1f0ff48dc2ba58e2216fb6406a
- Size of remote file:
- 15.3 MB
- SHA256:
- 33ef2f7dab4284a283bd949b94a4fc864b8b39b077cdf511c959e04d143b583c
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