Zero-Shot Classification
Safetensors
PEFT
English
openjev
classification
decision-model
listwise
gemma4
research
Instructions to use bambamdevs/openjev-e4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bambamdevs/openjev-e4b with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download openjev/__init__.py from bambamdevs/openjev-e4b: direct link, hf CLI and curl.
- Browser
- Download file 89 Bytes
-
https://huggingface.co/bambamdevs/openjev-e4b/resolve/main/openjev/__init__.py
- Command line
-
hf download hf://bambamdevs/openjev-e4b/openjev/__init__.py
-
curl -L -o __init__.py https://huggingface.co/bambamdevs/openjev-e4b/resolve/main/openjev/__init__.py
89 Bytes
| from .modeling import OpenJEVR7 | |
| OpenJEV = OpenJEVR7 | |
| __all__ = ["OpenJEV", "OpenJEVR7"] | |