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dabeb15292
* Base move * Examples reorganization * Update references * Put back test data * Move conftest * More fixes * Move test data to test fixtures * Update path * Apply suggestions from code review Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Address review comments and clean Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
43 lines
2.0 KiB
Markdown
43 lines
2.0 KiB
Markdown
<!---
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Copyright 2020 The HuggingFace Team. All rights reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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-->
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# Examples
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This folder contains actively maintained examples of use of 🤗 Transformers using the TensorFlow backend, organized along NLP tasks. It is under construction so we thank you for your patience!
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## The Big Table of Tasks
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Here is the list of all our examples:
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- with information on whether they are **built on top of `Keras`** (if not, they still work, they might
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just lack some features),
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- whether or not they leverage the [🤗 Datasets](https://github.com/huggingface/datasets) library.
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- links to **Colab notebooks** to walk through the scripts and run them easily,
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<!--
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Coming soon!
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- links to **Cloud deployments** to be able to deploy large-scale trainings in the Cloud with little to no setup.
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-->
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| Task | Example datasets | Keras support | 🤗 Datasets | Colab
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| **`language-modeling`** | WikiText-2 | - | - | -
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| [**`multiple-choice`**](https://github.com/huggingface/transformers/tree/master/examples/tensorflow/multiple-choice) | SWAG | - | - | -
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| [**`question-answering`**](https://github.com/huggingface/transformers/tree/master/examples/tensorflow/question-answering) | SQuAD | - | - | -
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| **`summarization`** | XSum | - | - | -
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| [**`text-classification`**](https://github.com/huggingface/transformers/tree/master/examples/tensorflow/text-classification) | GLUE | - | - | -
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| **`text-generation`** | n/a | - | n/a | -
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| **`token-classification`** | CoNLL NER | - | - | -
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| **`translation`** | WMT | - | - | -
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