Instructions to use GreenGenomicsLab/mamba-tinytrain1.4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use GreenGenomicsLab/mamba-tinytrain1.4b 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/mamba-tinytrain1.4b") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from GreenGenomicsLab/mamba-tinytrain1.4b: direct link, hf CLI and curl.
- Browser
- Download file 67 MB
-
https://huggingface.co/GreenGenomicsLab/mamba-tinytrain1.4b/resolve/main/optimizer.pt
- Command line
-
hf download hf://GreenGenomicsLab/mamba-tinytrain1.4b/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/GreenGenomicsLab/mamba-tinytrain1.4b/resolve/main/optimizer.pt
67 MB
- Xet hash:
- b76b16a99029fb04637df319f7f47ad795c90cb08f92d0ab076a528bf8035308
- Size of remote file:
- 67 MB
- SHA256:
- 1a09d85a48bb89757f812f8bb6e02a4c5dafb432eaa50d147d248f3297773931
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.