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author | Juarez Bochi <jbochi@gmail.com> | 2023-11-07 10:14:04 -0500 |
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committer | GitHub <noreply@github.com> | 2023-11-07 16:14:04 +0100 |
commit | c912d24570f36d83674a9b7644ac48b5cfc66bbd (patch) | |
tree | 430c176b2d88f57796207cd9d99690fc0d5e90f7 /candle-pyo3/test_pytorch.py | |
parent | d5c2a7b64b3716ad56e034d9bed82a022805670d (diff) | |
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Update README: Move T5 to Text to Text section (#1288)
I think it makes more sense to have it there, since it's a seq2seq model with cross attention, and not a LM. There are also Decoder only T5 models that work as LMs, but that's not the standard.
Diffstat (limited to 'candle-pyo3/test_pytorch.py')
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