Gated Slot Attention

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Usage

import torch
from gated_slot_attention.model import GSATransformer

model = GSATransformer(
    dim=512,
    heads=8,
    m=64,
    tau=0.1,
    depth=1,
    vocab_size=10000,
    max_seq_len=1024,
)

x = torch.randint(0, 10000, (1, 1024))
out = model(x)
print(out.shape)

License

MIT

Project links

Key dates

PyPI data
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  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for apacai from gravatar.com apacai

Credits

Author: Kye Gomez

License

MIT License (MIT)

Requires

Python <4.0, >=3.10

Tags

artificial intelligence deep learning optimizers Prompt Engineering

Classifiers

Report project as malware

Metadata

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for apacai from gravatar.com apacai

Credits

Author: Kye Gomez

License

MIT License (MIT)

Requires

Python <4.0, >=3.10

Tags

artificial intelligence deep learning optimizers Prompt Engineering

Classifiers

Report project as malware

Release files for gated-slot-attention 0.0.1

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