Skip to content

GitLab

Commit 1748fdf6 authored by Julien Chaumond's avatar Julien Chaumond
Browse files

[doc] Fix rst table

parent 36fc52a3
Hide whitespace changes
Inline Side-by-side
Showing with 10 additions and 10 deletions
docs/source/pretrained_models.rst
View file @ 1748fdf6
...@@ -63,22 +63,22 @@ Here is the full list of the currently provided pretrained models together with ...@@ -63,22 +63,22 @@ Here is the full list of the currently provided pretrained models together with
| | | (see `details on dbmdz repository <https://github.com/dbmdz/german-bert>`__). | | | | (see `details on dbmdz repository <https://github.com/dbmdz/german-bert>`__). |
| +------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+ | +------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+
| | ``bert-base-japanese`` | | 12-layer, 768-hidden, 12-heads, 110M parameters. | | | ``bert-base-japanese`` | | 12-layer, 768-hidden, 12-heads, 110M parameters. |
| | | | Trained on Japanese text. Text is tokenized with MeCab and WordPiece. | | | | | Trained on Japanese text. Text is tokenized with MeCab and WordPiece. |
| | | | `MeCab <https://taku910.github.io/mecab/>`__ is required for tokenization. | | | | | `MeCab <https://taku910.github.io/mecab/>`__ is required for tokenization. |
| | | (see `details on cl-tohoku repository <https://github.com/cl-tohoku/bert-japanese>`__). | | | | (see `details on cl-tohoku repository <https://github.com/cl-tohoku/bert-japanese>`__). |
| +------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+ | +------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+
| | ``bert-base-japanese-whole-word-masking`` | | 12-layer, 768-hidden, 12-heads, 110M parameters. | | | ``bert-base-japanese-whole-word-masking`` | | 12-layer, 768-hidden, 12-heads, 110M parameters. |
| | | | Trained on Japanese text using Whole-Word-Masking. Text is tokenized with MeCab and WordPiece. | | | | | Trained on Japanese text using Whole-Word-Masking. Text is tokenized with MeCab and WordPiece. |
| | | | `MeCab <https://taku910.github.io/mecab/>`__ is required for tokenization. | | | | | `MeCab <https://taku910.github.io/mecab/>`__ is required for tokenization. |
| | | (see `details on cl-tohoku repository <https://github.com/cl-tohoku/bert-japanese>`__). | | | | (see `details on cl-tohoku repository <https://github.com/cl-tohoku/bert-japanese>`__). |
| +------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+ | +------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+
| | ``bert-base-japanese-char`` | | 12-layer, 768-hidden, 12-heads, 110M parameters. | | | ``bert-base-japanese-char`` | | 12-layer, 768-hidden, 12-heads, 110M parameters. |
| | | | Trained on Japanese text. Text is tokenized into characters. | | | | | Trained on Japanese text. Text is tokenized into characters. |
| | | (see `details on cl-tohoku repository <https://github.com/cl-tohoku/bert-japanese>`__). | | | | (see `details on cl-tohoku repository <https://github.com/cl-tohoku/bert-japanese>`__). |
| +------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+ | +------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+
| | ``bert-base-japanese-char-whole-word-masking`` | | 12-layer, 768-hidden, 12-heads, 110M parameters. | | | ``bert-base-japanese-char-whole-word-masking`` | | 12-layer, 768-hidden, 12-heads, 110M parameters. |
| | | | Trained on Japanese text using Whole-Word-Masking. Text is tokenized into characters. | | | | | Trained on Japanese text using Whole-Word-Masking. Text is tokenized into characters. |
| | | (see `details on cl-tohoku repository <https://github.com/cl-tohoku/bert-japanese>`__). | | | | (see `details on cl-tohoku repository <https://github.com/cl-tohoku/bert-japanese>`__). |
+-------------------+------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+ +-------------------+------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+
| GPT | ``openai-gpt`` | | 12-layer, 768-hidden, 12-heads, 110M parameters. | | GPT | ``openai-gpt`` | | 12-layer, 768-hidden, 12-heads, 110M parameters. |
| | | | OpenAI GPT English model | | | | | OpenAI GPT English model |
......
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment