modify transformers.rst #496
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ZeyuChen
reviewed
Jun 5, 2021
docs/model_zoo/transformers.rst
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| +--------------------+-------------------------------------+--------------+-----------------------------------------+ | ||
| |ERNIE_ |``ernie-1.0`` | Chinese | | | ||
| |ERNIE_ |``ernie-1.0`` | Chinese | 12-layer, 768-hidden, | | ||
| | | | | 12-heads, _M parameters. | |
docs/model_zoo/transformers.rst
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| | |``gpt-cpm-small-cn-distill`` | Chinese | 12-layer, 768-hidden, | | ||
| | | | | 12-heads, 109M parameters. | | ||
| | | | | The model distilled from | | ||
| | | | | the GPT model ``gpt-cpm-small-cn`` | |
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https://github.com/TsinghuaAI/CPM-Distill
我看这个问的那个，应该是从large(gpt-cpm-large-cn)蒸馏过来的。
ZeyuChen
reviewed
Jun 5, 2021
| @@ -9,145 +9,301 @@ PaddleNLP为用户提供了常用的 ``BERT``、``ERNIE``、``ALBERT``、``RoBER | |||
| Transformer预训练模型汇总 | |||
| ------------------------------------ | |||
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| 下表汇总了介绍了目前PaddleNLP支持的各类预训练模型以及对应预训练权重。我们目前提供了 **62** 种预训练的参数权重供用户使用， | |||
| 下表汇总了介绍了目前PaddleNLP支持的各类预训练模型以及对应预训练权重。我们目前提供了 **67** 种预训练的参数权重供用户使用， | |||
| 其中包含了 **32** 种中文语言模型的预训练权重。 | |||
|
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| +--------------------+-------------------------------------+--------------+-----------------------------------------+ | |||
| | Model | Pretrained Weight | Language | Details of the model | | |||
| +====================+=====================================+==============+=========================================+ | |||
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rst语法上不太好设置居中显示，可以通过css端设置
There was a problem hiding this comment.
像这类文档你觉得用rst组织好还是markdown组织好？这两种方式各有什么利弊？
| @@ -158,35 +314,35 @@ Transformer预训练模型适用任务汇总 | |||
| +--------------------+-------------------------+----------------------+--------------------+-----------------+ | |||
| | Model | Sequence Classification | Token Classification | Question Answering | Text Generation | | |||
| +====================+=========================+======================+====================+=================+ | |||
| |ALBERT_ |✅ |✅ |✅ |❌ | | |||
There was a problem hiding this comment.
rst语法上不太好设置居中显示，可以通过css端设置
rst语法上不太好设置居中显示，可以通过css端设置 |
HF表格只列了一小部分，很多我们的模型它没有列出来 |
ZeyuChen
reviewed
Jun 5, 2021
| @@ -9,145 +9,301 @@ PaddleNLP为用户提供了常用的 ``BERT``、``ERNIE``、``ALBERT``、``RoBER | |||
| Transformer预训练模型汇总 | |||
| ------------------------------------ | |||
|
|
|||
| 下表汇总了介绍了目前PaddleNLP支持的各类预训练模型以及对应预训练权重。我们目前提供了 **62** 种预训练的参数权重供用户使用， | |||
| 下表汇总了介绍了目前PaddleNLP支持的各类预训练模型以及对应预训练权重。我们目前提供了 **67** 种预训练的参数权重供用户使用， | |||
| 其中包含了 **32** 种中文语言模型的预训练权重。 | |||
|
|
|||
| +--------------------+-------------------------------------+--------------+-----------------------------------------+ | |||
| | Model | Pretrained Weight | Language | Details of the model | | |||
| +====================+=====================================+==============+=========================================+ | |||
There was a problem hiding this comment.
像这类文档你觉得用rst组织好还是markdown组织好？这两种方式各有什么利弊？
docs/model_zoo/transformers.rst
Outdated
| | +-------------------------------------+--------------+-----------------------------------------+ | ||
| | |``skep_roberta_large_en`` | English | | | ||
| |SKEP_ |``skep_ernie_1.0_large_ch`` | Chinese | 24-layer, 1024-hidden, | | ||
| | | | | 16-heads, _M parameters. | |
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这个模型的size，直接与ernie1.0 large一致即可
| | | | | Trained using the Erine model | | ||
| | | | | ``ernie_1.0`` | | ||
| | +-------------------------------------+--------------+-----------------------------------------+ | ||
| | |``skep_ernie_2.0_large_en`` | English | 24-layer, 1024-hidden, | |
There was a problem hiding this comment.
这个模型的size，与ernie 2.0 large的size一样大即可。也与BERT-large一致
| @@ -158,35 +314,35 @@ Transformer预训练模型适用任务汇总 | |||
| +--------------------+-------------------------+----------------------+--------------------+-----------------+ | |||
| | Model | Sequence Classification | Token Classification | Question Answering | Text Generation | | |||
| +====================+=========================+======================+====================+=================+ | |||
| |ALBERT_ |✅ |✅ |✅ |❌ | | |||
ZeyuChen
approved these changes
Jun 5, 2021
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modify transformers.rst