sayakpaul / deploy-hf-tf-vision-models

This repository shows various ways of deploying a vision model (TensorFlow) from 🤗 Transformers.

Date Created 2022-07-17 (2 years ago)

Commits 80 (last one 2 years ago)

Stargazers 30 (0 this week)

Watchers 2 (0 this week)

Forks 2

License apache-2.0

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RepositoryStats indexes 637,706 repositories, of these sayakpaul/deploy-hf-tf-vision-models is ranked #604,897 (5th percentile) for total stargazers, and #484,689 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #17,878/19,282.

sayakpaul/deploy-hf-tf-vision-models is also tagged with popular topics, for these it's ranked: docker (#6,452/6658), kubernetes (#4,016/4106), tensorflow (#2,275/2306), serverless (#1,296/1317), transformers (#867/902), keras (#798/809), huggingface (#385/418), onnx (#366/377)

Other Information

sayakpaul/deploy-hf-tf-vision-models has Github issues enabled, there are 2 open issues and 6 closed issues.

There have been 3 releases, the latest one was published on 2022-08-06 (2 years ago) with the name Sample ImageNette images.

All Topics

onnx keras docker locust tfserving vertex-ai kubernetes serverless tensorflow autoscaling huggingface transformers kubernetes-engine vision-transformers

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80 commits on the default branch (main) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2025-03-10 @ 03:36pm, id: 514748198 / R_kgDOHq5vJg