Instructions to use GreenGenomicsLab/MambalgaP-cpt500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use GreenGenomicsLab/MambalgaP-cpt500 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("state-spaces/mamba-1.4b-hf") model = PeftModel.from_pretrained(base_model, "GreenGenomicsLab/MambalgaP-cpt500") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from GreenGenomicsLab/MambalgaP-cpt500: direct link, hf CLI and curl.
- Browser
- Download file 67 MB
-
https://huggingface.co/GreenGenomicsLab/MambalgaP-cpt500/resolve/main/optimizer.pt
- Command line
-
hf download hf://GreenGenomicsLab/MambalgaP-cpt500/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/GreenGenomicsLab/MambalgaP-cpt500/resolve/main/optimizer.pt
67 MB
- Xet hash:
- c69ae9e21c4e7cb961fa8240b53457802b143b428dd98211de1197f47f259440
- Size of remote file:
- 67 MB
- SHA256:
- 554db53941aba188854e9c707e676e0411d589460daf1fa3a6b7962863963c1a
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