VGenEval
load prompts from VideoGen-Eval
install
pip install VGenEval
usage
from VGenEval import load_prompt
prompts = load_prompt.get_prompts(ids, model_name)
reference
https://github.com/AILab-CVC/VideoGen-Eval
1 maintainer
Metadata
1 maintainer
Release files for VGenEval 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| VGenEval-0.1.0.tar.gz | 2.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| VGenEval-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.7 kB
Release files / VGenEval-0.1.0.tar.gz
| Download URL | VGenEval-0.1.0.tar.gz |
|---|---|
| Size | 2.6 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.12
|
Release files / VGenEval-0.1.0-py3-none-any.whl
| Download URL | VGenEval-0.1.0-py3-none-any.whl |
|---|---|
| Size | 3.0 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.12
|
