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neurips-scooby-flash
johahi/neurips-scooby-flash
neurips-scooby-flash is a machine learning model from johahi. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
After the installation of FlashAttention2, the model can be loaded using:
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At a glance
- License
- mit
- Model type
- borzoi
- Access
- Public
- Created
- Jan 9, 2025
- Updated
- Jan 9, 2025
- SHA
- 06bbc896
Model card
From the Hugging Face model README
After the installation of FlashAttention2, the model can be loaded using:
from scooby.modeling import Scooby
flooby_neurips = Scooby.from_pretrained(
'johahi/neurips-scooby-flash',
cell_emb_dim=14,
embedding_dim=1920,
n_tracks=3,
return_center_bins_only=True,
disable_cache=False,
use_transform_borzoi_emb=False,
)
Since the transform_borzoi_emb is not used, the models performance is slightly (0.52 vs 0.54 across cell types) worse than neurips-scooby.
- Type
- borzoi
- License
- mit
- Created
- Jan 9, 2025
- Updated
- Jan 9, 2025