From 619d51e01f326d298687912d1f65f8d460f2a6e2 Mon Sep 17 00:00:00 2001 From: Maria Khalusova Date: Wed, 22 Feb 2023 08:32:35 -0500 Subject: [PATCH] Added "Open in Colab" to task guides (#21729) added Open in Colab to task guides --- docs/source/en/tasks/asr.mdx | 2 ++ docs/source/en/tasks/audio_classification.mdx | 2 ++ docs/source/en/tasks/multiple_choice.mdx | 2 ++ docs/source/en/tasks/summarization.mdx | 2 ++ docs/source/en/tasks/translation.mdx | 2 ++ 5 files changed, 10 insertions(+) diff --git a/docs/source/en/tasks/asr.mdx b/docs/source/en/tasks/asr.mdx index 4c31cd2841..b7cced7664 100644 --- a/docs/source/en/tasks/asr.mdx +++ b/docs/source/en/tasks/asr.mdx @@ -12,6 +12,8 @@ specific language governing permissions and limitations under the License. # Automatic speech recognition +[[open-in-colab]] + Automatic speech recognition (ASR) converts a speech signal to text, mapping a sequence of audio inputs to text outputs. Virtual assistants like Siri and Alexa use ASR models to help users everyday, and there are many other useful user-facing applications like live captioning and note-taking during meetings. diff --git a/docs/source/en/tasks/audio_classification.mdx b/docs/source/en/tasks/audio_classification.mdx index 75c278c6f4..8fbb490c03 100644 --- a/docs/source/en/tasks/audio_classification.mdx +++ b/docs/source/en/tasks/audio_classification.mdx @@ -12,6 +12,8 @@ specific language governing permissions and limitations under the License. # Audio classification +[[open-in-colab]] + Audio classification - just like with text - assigns a class label output from the input data. The only difference is instead of text inputs, you have raw audio waveforms. Some practical applications of audio classification include identifying speaker intent, language classification, and even animal species by their sounds. diff --git a/docs/source/en/tasks/multiple_choice.mdx b/docs/source/en/tasks/multiple_choice.mdx index 74568d37ca..e0374a505d 100644 --- a/docs/source/en/tasks/multiple_choice.mdx +++ b/docs/source/en/tasks/multiple_choice.mdx @@ -12,6 +12,8 @@ specific language governing permissions and limitations under the License. # Multiple choice +[[open-in-colab]] + A multiple choice task is similar to question answering, except several candidate answers are provided along with a context and the model is trained to select the correct answer. This guide will show you how to: diff --git a/docs/source/en/tasks/summarization.mdx b/docs/source/en/tasks/summarization.mdx index b984b5129f..85f4ecbabd 100644 --- a/docs/source/en/tasks/summarization.mdx +++ b/docs/source/en/tasks/summarization.mdx @@ -12,6 +12,8 @@ specific language governing permissions and limitations under the License. # Summarization +[[open-in-colab]] + Summarization creates a shorter version of a document or an article that captures all the important information. Along with translation, it is another example of a task that can be formulated as a sequence-to-sequence task. Summarization can be: diff --git a/docs/source/en/tasks/translation.mdx b/docs/source/en/tasks/translation.mdx index fffb2d448c..184eb9bd12 100644 --- a/docs/source/en/tasks/translation.mdx +++ b/docs/source/en/tasks/translation.mdx @@ -12,6 +12,8 @@ specific language governing permissions and limitations under the License. # Translation +[[open-in-colab]] + Translation converts a sequence of text from one language to another. It is one of several tasks you can formulate as a sequence-to-sequence problem, a powerful framework for returning some output from an input, like translation or summarization. Translation systems are commonly used for translation between different language texts, but it can also be used for speech or some combination in between like text-to-speech or speech-to-text.