Comments (1)
mattdangerw
commented on May 18, 2024
I would suggest using the "file by Shawn Presser" at the top of the README. That skips running the code to recreate.
Another option would be huggingface datasets, though some work would be needed to get these out of their format.
I'll update the README to include a few different sources, we probably shouldn't try to list just one as there's no official source anymore.
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Related Issues (20)
- keras-nlp insists I use the (buggy) Tensorflow 2.16.1 which does not work with my GPU HOT 12
- `SentencePieceTokenizer` inside a `keras.models.Model` fails to be reconstructed during `keras.saving.load_model()` HOT 2
- Add grok-1
- [RfC] Ideas for better Hugging Face Hub integration HOT 7
- Any plans for QLora? HOT 2
- create local variable per_token_loss in score method to global. So that we can modify loss function. HOT 4
- Why not use low precision matmul for reverse embedding in gemma model HOT 4
- Keep kv cache as list of tensors maybe better than one tensor HOT 3
- Issue when fine-tuning Albert - Resource localhost/_0_SentencepieceOp/N10tensorflow4text12_GLOBAL__N_121SentencepieceResourceE does not exist. HOT 3
- Issue instantiating a keras_nlp.models.Backbone from a model preset of Hugging Face handles HOT 4
- How gemma_lm.preprocessor.sequence_length dealing with large input data HOT 3
- Any plans for Llama 3?
- Any plans for moreLlama 3?
- Any plans for more Llama type models? HOT 1
- Samplers in Gemma model HOT 6
- Retrieving Model Text in Custom Loss Function for Training
- Cannot reproduce results from notebook on Colab HOT 3
- GemmaBackbone.get_layout_map broken for gemma_2b_en HOT 2
- make it easier to adjust dropout when loading gemma models
- DebertaV3MaskedLM example don't work HOT 1
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