qandaxfmrartifact
BentoML artifact framework for Q&A Transformers.
Installation:
pip install qandaxfmrartifact==0.0.1
Usage example (decorate service):
from qandaxfmrartifact.QandaTransformersModelArtifact import QandaTransformersModelArtifact
@artifacts([QandaTransformersModelArtifact('albert')])
class MyBentoService(BentoService):
Usage example (package model):
svc = MyBentoService()
opts = {
'embedder_model_path': my_embedder_model_path,
}
svc.pack('albert', my_transformer_model_path, opts)
Alternatively, during training:
svc.pack('albert', {'model': my_trained_model, 'tokenizer': my_tokenizer, 'embedder': my_embedder})
1 maintainer
Metadata
1 maintainer
Release files for qandaxfmrartifact 0.0.10
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| File | Size | Uploaded | Provenance | Actions |
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| qandaxfmrartifact-0.0.10.tar.gz | 3.6 kB | Without provenance | Details for qandaxfmrartifact-0.0.10.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
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| qandaxfmrartifact-0.0.10-py3-none-any.whl | Python 3 | none | any | Details for qandaxfmrartifact-0.0.10-py3-none-any.whl |
Total release size: 7.6 kB
Release files / qandaxfmrartifact-0.0.10.tar.gz
| Download URL | qandaxfmrartifact-0.0.10.tar.gz |
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| Size | 3.6 kB |
| Tags | Source |
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Release files / qandaxfmrartifact-0.0.10-py3-none-any.whl
| Download URL | qandaxfmrartifact-0.0.10-py3-none-any.whl |
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| Size | 4.0 kB |
| Tags | Python 3 |
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