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author | Po-Chuan Hsieh <sunpoet@FreeBSD.org> | 2024-02-21 14:16:39 +0000 |
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committer | Po-Chuan Hsieh <sunpoet@FreeBSD.org> | 2024-02-21 15:06:06 +0000 |
commit | b0a0cacc08d7ba9aad4fa2f176758c1bb332a1bf (patch) | |
tree | 4bb68705435b93ac3343b12aa5aa6ed1fd87ef80 /devel/py-thinc/pkg-descr | |
parent | e2bd8b024ee9d1e20c7f1a2fea371b9dbcaa7a2b (diff) | |
download | ports-b0a0cacc08d7ba9aad4fa2f176758c1bb332a1bf.tar.gz ports-b0a0cacc08d7ba9aad4fa2f176758c1bb332a1bf.zip |
Diffstat (limited to 'devel/py-thinc/pkg-descr')
-rw-r--r-- | devel/py-thinc/pkg-descr | 6 |
1 files changed, 6 insertions, 0 deletions
diff --git a/devel/py-thinc/pkg-descr b/devel/py-thinc/pkg-descr new file mode 100644 index 000000000000..877f18b24753 --- /dev/null +++ b/devel/py-thinc/pkg-descr @@ -0,0 +1,6 @@ +Thinc is a lightweight deep learning library that offers an elegant, +type-checked, functional-programming API for composing models, with support for +layers defined in other frameworks such as PyTorch, TensorFlow and MXNet. You +can use Thinc as an interface layer, a standalone toolkit or a flexible way to +develop new models. Previous versions of Thinc have been running quietly in +production in thousands of companies, via both spaCy and Prodigy. |