Instructions to use GreenGenomicsLab/LA4SR-Mamba-2.8b-QLORA-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use GreenGenomicsLab/LA4SR-Mamba-2.8b-QLORA-ft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("state-spaces/mamba-2.8b-hf") model = PeftModel.from_pretrained(base_model, "GreenGenomicsLab/LA4SR-Mamba-2.8b-QLORA-ft") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from GreenGenomicsLab/LA4SR-Mamba-2.8b-QLORA-ft: direct link, hf CLI and curl.
- Browser
- Download file 1.02 GB
-
https://huggingface.co/GreenGenomicsLab/LA4SR-Mamba-2.8b-QLORA-ft/resolve/main/optimizer.pt
- Command line
-
hf download hf://GreenGenomicsLab/LA4SR-Mamba-2.8b-QLORA-ft/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/GreenGenomicsLab/LA4SR-Mamba-2.8b-QLORA-ft/resolve/main/optimizer.pt
1.02 GB
- Xet hash:
- f07db29c24be359d360d8fb00495c3c52c762c14a58d28ad4dcb0ded8bf2fd0f
- Size of remote file:
- 1.02 GB
- SHA256:
- b10d4855a7b205966d2a568c3bd650b5a4e9ed877edb53e3dd900e85584eef3a
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