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- add SpanMaskingCollateFn for span denoising objective - support loading T5 checkpoint from huggingface - support passing decoder inputs to T5 model - add example config for pretraining T5 checkpoint from HF
…ew huggingface model wrapper for encoder decoder architecture
- add logic to model_predict_batch - fix example config - cleanup HF model implementation
- remove dependency in span masking collator - refactor t5 config - refactor collator test
…odel - simplify future type checks
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What does this PR do?
This PR adds support for pretrained LongT5 encoder-decoder models from HuggingFace.
General Changes
Breaking Changes
Checklist before submitting final PR
python tests/tests.py) (apparently some tests were failing already in upstream? also didn't test multi-GPU)CHANGELOG_DEV.md)