Instructions to use GreenGenomicsLab/Mamba-TinyTrain200e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use GreenGenomicsLab/Mamba-TinyTrain200e 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-TinyTrain200e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9895fb550680ea554c452a2fb89090bbdebeee3c610d98c75b8c92d9f49de7f0
- Size of remote file:
- 67 MB
- SHA256:
- 6e19f99da64bd597cf3f6fed1c198d9c8aeb4db2b339b797a200c0b5ddced38e
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