transformer-as-service
Using transformer pretrained model as a sentence encoding service, i.e. mapping a variable-length sentence to a fixed-length vector.
Thanks for the idea from bert-as-serivce
Metadata
Release files for transformer-as-client 1.10.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| transformer_as_client-1.10.0.tar.gz | 7.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| transformer_as_client-1.10.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 15.8 kB
Release files / transformer_as_client-1.10.0.tar.gz
| Download URL | transformer_as_client-1.10.0.tar.gz |
|---|---|
| Size | 7.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/50.3.1.post20201107 requests-toolbelt/0.9.1 tqdm/4.53.0 CPython/3.7.9
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Release files / transformer_as_client-1.10.0-py2.py3-none-any.whl
| Download URL | transformer_as_client-1.10.0-py2.py3-none-any.whl |
|---|---|
| Size | 8.3 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/50.3.1.post20201107 requests-toolbelt/0.9.1 tqdm/4.53.0 CPython/3.7.9
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