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Name: Tensorflow Hub Models
Short Name: tfhub_models
URL: https://tfhub.dev/
Date: 2023/08/02
License: Apache 2.0
License File: LICENSE
Version: 2023/08/02
Security Critical: No
Shipped: no
CPEPrefix: unknown
Description:
This directory contains models downloaded from https://tfhub.dev/ under its
Apache license. These models are not built into Chromium and are only used as
testdata.
Uploading New Models:
1. Put all the models you want uploaded (including existing models to keep) in
the existing //third_party/tfhub_models/models directory.
2. `cd` to //third_party/tfhub_models.
3. Run the following commands:
```
tar -czf models.tar.gz models/*
sha1sum models.tar.gz | awk '{print $1}' > models.tar.gz.sha1
```
4. Upload the tarball to the cloud storage bucket:
```
upload_to_google_storage.py --bucket chromium-tfhub-models models.tar.gz
```
5. Overwrite chromium's sha1 models.tar.gz.sha1 file with the new one.
Models:
Please keep this list and BUILD.gn up to date when new files are added to the
Cloud Storage Bucket.
* lite-model_universal-sentence-encoder-qa-ondevice_1.tflite - A TFLite
Support compatible embedding model trained on Q&A text, pulled from
https://tfhub.dev/google/lite-model/universal-sentence-encoder-qa-ondevice/1.
Requires sentencepiece tokenization to be built into Chrome, which is not
currently supported. See also https://crrev.com/c/4722355.
* rehead_embedding_from_mobilebert.tflite - A TFLite Support compatible
embedding model which was adapted from this BERT model,
https://tfhub.dev/tensorflow/lite-model/mobilebert/1/metadata/1. The base
model was re-headed to expose the embedding layer.
|
