From 74c1dfe0442e1baa8c65472ea9a239675a2457e1 Mon Sep 17 00:00:00 2001 From: raynardj Date: Tue, 16 Nov 2021 22:58:37 +0800 Subject: [PATCH 1/2] =?UTF-8?q?=F0=9F=AA=81=20README=20for=20examples?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- examples/deploy/README.md | 4 ++++ .../multilable_classification.ipynb | 0 2 files changed, 4 insertions(+) create mode 100644 examples/deploy/README.md rename "examples/\360\237\216\255Multi_Label_Classification.ipynb" => examples/multilable_classification.ipynb (100%) diff --git a/examples/deploy/README.md b/examples/deploy/README.md new file mode 100644 index 0000000..ef9ff56 --- /dev/null +++ b/examples/deploy/README.md @@ -0,0 +1,4 @@ +# Deploy API within colab +* [CV streamlit examples](CV) +* [NLP streamlit examples](NLP) +* [Tabular streamlit examples](Tabular) \ No newline at end of file diff --git "a/examples/\360\237\216\255Multi_Label_Classification.ipynb" b/examples/multilable_classification.ipynb similarity index 100% rename from "examples/\360\237\216\255Multi_Label_Classification.ipynb" rename to examples/multilable_classification.ipynb From b2e0db76de2ae23b584e4cdd9e0f0ec943cf4257 Mon Sep 17 00:00:00 2001 From: raynardj Date: Tue, 16 Nov 2021 23:04:23 +0800 Subject: [PATCH 2/2] =?UTF-8?q?=F0=9F=AA=81=20example=20doc?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- examples/README.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/examples/README.md b/examples/README.md index 6c54c6b..c85d9af 100644 --- a/examples/README.md +++ b/examples/README.md @@ -3,6 +3,11 @@ > This directory will not generate code, documentations or ran in the test +## Notebook deployments * Image caption with full transformer structure [colab notebook](image_caption.ipynb), A use case of ```HFTextBlock``` * [NLP regression](nlp_regression_toxity.ipynb), guess the toxity of a chemical compound, treating chemical expression as a string of text. * [Sequence to sequence](nlp_seq2seq_en_to_zh_translation.ipynb) model, leveraging pretrained encoder & pretrained decoder to create a translation model +* [Semantic search](feature_encoder.ipynb) using a pretrained model and a fast deployment of interactive similarity search from unpackai + +## AI API deployments +* See some [API deployments](deploy) within colab notebooks