Comments (3)
jackalhan
commented on July 21, 2024
2
I think, we, as consumers need to contribute to the project instead of creating new requests every time. They tried to their best by sharing their training code to show their experiments. We need to learn how to utilize things instead of having the complete solution from someone. Also, we should not create this " !!! " type of requests. It is somewhat motivation breaker. Thank you for your understanding.
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herbertchen1
commented on July 21, 2024
especially after i've trained the model and want to use it as embedding only to find its too slow with batch 128
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herbertchen1
commented on July 21, 2024
Appreciate for your criticism, and sorry for the reckless issueπππ
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Related Issues (20)
- UnicodeError when run example: python -m unittest discover tests/ HOT 2
- how many time it takes if I training a 5GB corpus on 1080ti
- How to use ELMo in Keras version? HOT 1
- why should vocabulary file be sorted in descending order by token count in our training dataοΌ
- bug during data loading (and tests) HOT 2
- Training ELMO on TPU for generating embedding from custom dataset
- how to freeze some layers during training HOT 1
- Import Error: No module named bilm.training when I try to incrementally train ELMo HOT 1
- drastic impact of Changing the vocabulary on perplexity HOT 1
- incremental training on less than 2000 sentences HOT 2
- elmo sentence embeddings using usage_token.py
- The PyTorch version replication of the "Deep contextualized word representations" is missing
- Does any code about ELMO+ESIM? HOT 1
- Exporting finetuned model to SavedModel format for Tensorflow Serving HOT 6
- Compute training time
- Preparing training data for a domain with many multi keyword token HOT 1
- Running into error on tests HOT 3
- Saving the custom trained ELMO embedding (hdf5) in the format of tensorhub models
- 2021-10-29 14:13:30.313623: E C:\users\nwani\_bazel_nwani\mmtm6wb6\execroot\org_tensorflow\tensorflow\stream_executor\cuda\cuda_event.cc:49] Error polling for event status: failed to query event: CUDA_ERROR_OUT_OF_MEMORY
- Pre-trained links do not work HOT 7
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