Comments (2)
davidberenstein1957
commented on June 12, 2024
Hi @espdev , what do you propose for specifying versioning ? PRs are welcome :)
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espdev
commented on June 12, 2024
It seems the dependency versions currently specified in pyproject.toml are not fully compatible with the package code. I think we need to specify the version ranges of the major dependencies with which the package will definitely work without errors (I hope semver will work). spaCy, sentence-transformers, transformers, onnx/onnxruntime. Also it seems fast-sentence-transformers package is outdated for the current version of sentence-transformers package.
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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
- Installations on Ubuntu HOT 1
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