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
- Xet hash:
- 04d4a8c317111255e02de0e5b488d82849e818d3491d2c863695d17a6ac29eb4
- Size of remote file:
- 4.92 kB
- SHA256:
- a8306281a61d51742810b0821e3cef40937fc326a2597eac81424ff6b76c89b1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.