Instructions to use Mercity/mamba-790m-resoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Mercity/mamba-790m-resoning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("state-spaces/mamba-790m-hf") model = PeftModel.from_pretrained(base_model, "Mercity/mamba-790m-resoning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- efaf51cbc739805f20e8f9bb43826302a1547d55280d39542586bea1d6431474
- Size of remote file:
- 94.5 MB
- SHA256:
- 6e6c42ec0de73015da6bf36b85eaf6ee21a03165056762375af40510a5a620db
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.