Comments (5)
andremacola
commented on May 20, 2024
More info about this: microsoft/onnxruntime#10097 and microsoft/onnxruntime#800 (comment)
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davidberenstein1957
commented on May 20, 2024
Thanks! @andremacola
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andremacola
commented on May 20, 2024
I have a dataset with more than 100.000 sentences and labels. Using without pickle is impossible.
However creating the pickle file is time consuming but then it is very quick to raise the api (fastapi) and the response is very fast after being stored in memory.
Using 0.4.2 for now
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davidberenstein1957
commented on May 20, 2024
https://github.com/Pandora-Intelligence/fast-sentence-transformers/releases/tag/0.3.3
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davidberenstein1957
commented on May 20, 2024
This will be added to a new release during the coming weekend.
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Related Issues (20)
- ImportError: cannot import name 'cached_path' from 'transformers.file_utils' (/opt/conda/lib/python3.7/site-packages/transformers/file_utils.py) HOT 3
- Saving and loading models
- retrain on saved pickle model? HOT 2
- add zero-shot `onnx`support
- Misaligned pairings of labels and scores? HOT 8
- add `https://onnx.ai/sklearn-onnx/` support HOT 1
- add saving and loading support for `standalone` reproducability HOT 3
- between zero shot and few shot HOT 1
- setfit in classy classification HOT 7
- Drastic performance drop HOT 5
- Running the first example we get a different score HOT 2
- Error when using spacy _trf models HOT 6
- Different language models HOT 9
- Standalone usage without spaCy setting embeddings post adding the data makes the classifications run twice HOT 1
- Token indices sequence length HOT 1
- Spacy embeddings vs sentence transformer embeddings HOT 1
- Example code gives error
- Would be great to also apply the classifier on arbitrary Spans HOT 2
- The current version of package is unstable and exceptions occur HOT 2
- Installations on Ubuntu
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