Comments (1)
This is done! #61
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Related Issues (20)
- XLMRobertaTokenizer.detokenize method is not wokring HOT 2
- Add `from_huggingface` method to KerasNLP models HOT 2
- Intermittent OOM for accelerator testing on tf backend
- Nightly Package for KerasNLP HOT 1
- Use same GPU testing setup as core Keras
- TransformerEncoder layer unable to be saved HOT 1
- GitHub workflows run with write-all tokens HOT 1
- Adopt PyPI's trusted publishing, won't need PYPI_API_TOKEN in publish-to-pypi.yml. HOT 2
- Update all weights to the `.weights.h5` format HOT 1
- Remove workaround for `take_along_axis`
- Port preprocessing and tokenizer tests to use `run_preprocessing_layer_test` HOT 1
- Allow loading a model preset from a directory HOT 1
- Integrate with `kagglehub` for model downloads HOT 1
- In colab, keras-nlp doesn't detect GPU anymore HOT 6
- Version of Keras, KerasNLP and Torch: GPT text generation from scratch
- [GPT2CausalLM] Unable to generate text if the `GPT2CausalLMPreprocessor` is not pretrained
- [Memory optimization] Reduce the memory usage for preset() API with load the weights. HOT 1
- Update all presets to download from Kaggle Models HOT 1
- Incoherence in the pooled_output definition in ElectraBackbone and BertBackbone HOT 1
- Keras2 - T5 Backbone Preset Tests fail
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