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
Download training_args.bin from Mercity/mamba-790m-resoning: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/Mercity/mamba-790m-resoning/resolve/main/training_args.bin
- Command line
-
hf download hf://Mercity/mamba-790m-resoning/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Mercity/mamba-790m-resoning/resolve/main/training_args.bin
5.71 kB
- Xet hash:
- dae87aa297e2f10778ecdb5d0dad8996f1deef4beff2fef4cacc845f4e7fe559
- Size of remote file:
- 5.71 kB
- SHA256:
- ebb27e7ef2130019447c79effafe19d46b3798be3ee10705a2da8a8a57e2ca29
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