Instructions to use GreenGenomicsLab/Mamba-1.4b-OpenOrca-downsample-0.01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use GreenGenomicsLab/Mamba-1.4b-OpenOrca-downsample-0.01 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-1.4b-OpenOrca-downsample-0.01") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c13529b743a8bd183b1b47eecf6cd4ba6750661c1158a09b8f839d2de4cd7398
- Size of remote file:
- 67 MB
- SHA256:
- 8c4f58c63ea0c9b6ec7877b007a25cd5da04654c79046721a8ab5485af5a6da3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.