mirror of
https://github.com/saymrwulf/transformers.git
synced 2026-05-14 20:58:08 +00:00
[Examples] Add audio classification notebooks (#14099)
* Update SEW integration test tolerance * Add audio classification notebooks
This commit is contained in:
parent
0f502682fb
commit
e03544a138
2 changed files with 3 additions and 1 deletions
|
|
@ -42,6 +42,7 @@ Coming soon!
|
|||
| [**`translation`**](https://github.com/huggingface/transformers/tree/master/examples/pytorch/translation) | WMT | ✅ | ✅ |✅ | [](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/translation.ipynb)
|
||||
| [**`speech-recognition`**](https://github.com/huggingface/transformers/tree/master/examples/pytorch/speech-recognition) | TIMIT | ✅ | - |✅ | [](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/speech_recognition.ipynb)
|
||||
| [**`multi-lingual speech-recognition`**](https://github.com/huggingface/transformers/tree/master/examples/pytorch/speech-recognition) | Common Voice | ✅ | - |✅ | [](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/multi_lingual_speech_recognition.ipynb)
|
||||
| [**`audio-classification`**](https://github.com/huggingface/transformers/tree/master/examples/pytorch/audio-classification) | SUPERB KS | ✅ | - |✅ | [](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/audio_classification.ipynb)
|
||||
|
||||
|
||||
## Running quick tests
|
||||
|
|
|
|||
|
|
@ -53,7 +53,8 @@ You can open any page of the documentation as a notebook in colab (there is a bu
|
|||
| [How to fine-tune a model on translation](https://github.com/huggingface/notebooks/blob/master/examples/translation.ipynb) | Show how to preprocess the data and fine-tune a pretrained model on WMT. | [](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/translation.ipynb)|
|
||||
| [How to fine-tune a model on summarization](https://github.com/huggingface/notebooks/blob/master/examples/summarization.ipynb) | Show how to preprocess the data and fine-tune a pretrained model on XSUM. | [](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/summarization.ipynb)|
|
||||
| [How to fine-tune a speech recognition model in English](https://github.com/huggingface/notebooks/blob/master/examples/speech_recognition.ipynb)| Show how to preprocess the data and fine-tune a pretrained Speech model on TIMIT | [](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/speech_recognition.ipynb)|
|
||||
| [How to fine-tune a speech recognition in any language](https://github.com/huggingface/notebooks/blob/master/examples/multi_lingual_speech_recognition.ipynb)| Show how to preprocess the data and fine-tune a multi-lingually pretrained speech model on Common Voice | [](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/multi_lingual_speech_recognition.ipynb)|
|
||||
| [How to fine-tune a speech recognition model in any language](https://github.com/huggingface/notebooks/blob/master/examples/multi_lingual_speech_recognition.ipynb)| Show how to preprocess the data and fine-tune a multi-lingually pretrained speech model on Common Voice | [](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/multi_lingual_speech_recognition.ipynb)|
|
||||
| [How to fine-tune a model on audio classification](https://github.com/huggingface/notebooks/blob/master/examples/audio_classification.ipynb)| Show how to preprocess the data and fine-tune a pretrained Speech model on Keyword Spotting | [](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/audio_classification.ipynb)|
|
||||
| [How to train a language model from scratch](https://github.com/huggingface/blog/blob/master/notebooks/01_how_to_train.ipynb)| Highlight all the steps to effectively train Transformer model on custom data | [](https://colab.research.google.com/github/huggingface/blog/blob/master/notebooks/01_how_to_train.ipynb)|
|
||||
| [How to generate text](https://github.com/huggingface/blog/blob/master/notebooks/02_how_to_generate.ipynb)| How to use different decoding methods for language generation with transformers | [](https://colab.research.google.com/github/huggingface/blog/blob/master/notebooks/02_how_to_generate.ipynb)|
|
||||
| [How to export model to ONNX](https://github.com/huggingface/notebooks/blob/master/examples/onnx-export.ipynb) | Highlight how to export and run inference workloads through ONNX |
|
||||
|
|
|
|||
Loading…
Reference in a new issue