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chenpangpang
transformers
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dd7a958f
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dd7a958f
authored
Dec 18, 2019
by
Stefan Schweter
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docs: add XLM-RoBERTa to pretrained model list (incl. all parameters)
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docs/source/pretrained_models.rst
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@@ -240,6 +240,12 @@ Here is the full list of the currently provided pretrained models together with
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@@ -240,6 +240,12 @@ Here is the full list of the currently provided pretrained models together with
| | ``t5-11B`` | | ~11B parameters with 24-layers, 1024-hidden-state, 65536 feed-forward hidden-state, 128-heads, |
| | ``t5-11B`` | | ~11B parameters with 24-layers, 1024-hidden-state, 65536 feed-forward hidden-state, 128-heads, |
| | | | Trained on English text: the Colossal Clean Crawled Corpus (C4) |
| | | | Trained on English text: the Colossal Clean Crawled Corpus (C4) |
+-------------------+------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+
+-------------------+------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+
| XLM-RoBERTa | ``xlm-roberta-base`` | | ~125M parameters with 12-layers, 768-hidden-state, 3072 feed-forward hidden-state, 8-heads, |
| | | | Trained on on 2.5 TB of newly created clean CommonCrawl data in 100 languages |
| +------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+
| | ``xlm-roberta-large`` | | ~355M parameters with 24-layers, 1027-hidden-state, 4096 feed-forward hidden-state, 16-heads, |
| | | | Trained on 2.5 TB of newly created clean CommonCrawl data in 100 languages |
+-------------------+------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+
.. <https://huggingface.co/transformers/examples.html>`__
.. <https://huggingface.co/transformers/examples.html>`__
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