huggingface / huggingface/transformers
Adding TF Implementation of BEiT
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Nobody has claimed this yet.
WIP
- Dominant language
- Python
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- Forks
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- Avg merge
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- Merged PRs (30d)
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Description
### Feature request
Addition of TF implementation of BEiT
### Motivation
I have always seen that there is a discrepancy in the availability of models for PyTorch and the models available in TensorFlow, and want to have models for usage in both backends.
### Your contribution
I will add the implementation of BEiT in TF :)
cc - @gante
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no files, tests, or entry points. Start by locating the existing BEiT implementation and the project's TensorFlow model patterns, then determine the tests needed to verify the TensorFlow implementation matches the requested model behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100