Instructions to use GreenGenomicsLab/MambalgaP-drivenpaper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use GreenGenomicsLab/MambalgaP-drivenpaper with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("state-spaces/mamba-370m-hf") model = PeftModel.from_pretrained(base_model, "GreenGenomicsLab/MambalgaP-drivenpaper") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5aee4d66417caeb1f5f0d7d93043b782367e884cf6b3d4ead821f801a33d37e
- Size of remote file:
- 35.3 MB
- SHA256:
- b062a18d18923d1552c6afee1a477f53ccdd11ceec4713fc61f50fecde1f034c
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