Comments (2)
davidberenstein1957
commented on May 28, 2024
@manuelnelson thanks for the reproducible example. It is not working since i haven't spend time on creating correct serialization methods for the classification models. I won't spend time on this any time soon, but maybe one day in the future, I will add it.
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davidberenstein1957
commented on May 28, 2024
I also don't fully understand why you need to save the actual model since the approach is heavily focused on creating a low-key few/zero-shot approach, which relies on the input data and not the actual training. Meaning that saving the data should be enough for reasonably reproducing the model predictions.
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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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