This package allows you to integrate LLMs into your Aqueduct machine learning pipelines with a single line of code.
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Metadata
1 maintainer
Release files for aqueduct-llm 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| aqueduct-llm-0.0.1.tar.gz | 7.2 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aqueduct_llm-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.3 kB
Release files / aqueduct-llm-0.0.1.tar.gz
| Download URL | aqueduct-llm-0.0.1.tar.gz |
|---|---|
| Size | 7.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.10
|
Release files / aqueduct_llm-0.0.1-py3-none-any.whl
| Download URL | aqueduct_llm-0.0.1-py3-none-any.whl |
|---|---|
| Size | 11.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.10
|
Security for aqueduct-llm 0.0.1
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