Skip to main content

fine-tuned-model

use chatgpt fine-tuned-model

Metadata

Release files for fine-tuned-model 0.1.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for fine-tuned-model 0.1.4
File Size Uploaded Provenance Actions
fine-tuned-model-0.1.4.tar.gz 2.1 kB Without provenance Details for fine-tuned-model-0.1.4.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for fine-tuned-model 0.1.4
File Interpreter ABI Platform Actions
fine_tuned_model-0.1.4-py3-none-any.whl Python 3 none any Details for fine_tuned_model-0.1.4-py3-none-any.whl

Total release size: 4.4 kB

Release files / fine-tuned-model-0.1.4.tar.gz

Download URL fine-tuned-model-0.1.4.tar.gz
Size 2.1 kB
Tags Source
SHA-256 checksum
How to use checksums
c76a0c472e937ad063d4a64b6c964c6b4c01fd5b3df31cff31d2ad86b1e3f583
BLAKE2b-256 checksum
How to use checksums
d6f870ec26b9e9e3c95d669cc7feb1985a608db0c858cda68f598e79aefce484
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.11.9

Release files / fine_tuned_model-0.1.4-py3-none-any.whl

Download URL fine_tuned_model-0.1.4-py3-none-any.whl
Size 2.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
7ea8d9aee68e3d4916e140dbf0c6f49f9bdd03d9abd7beca64e4226f5a9c3dc1
BLAKE2b-256 checksum
How to use checksums
e2213b27d13cd239b9373dd6bfe7c74335e293a02028cb16c95b8f2575308338
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.11.9

Security for fine-tuned-model 0.1.4

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page