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 config.json from bambamdevs/openjev-e4b: direct link, hf CLI and curl.
- Browser
- Download file 274 Bytes
-
https://huggingface.co/bambamdevs/openjev-e4b/resolve/main/config.json
- Command line
-
hf download hf://bambamdevs/openjev-e4b/config.json
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curl -L -o config.json https://huggingface.co/bambamdevs/openjev-e4b/resolve/main/config.json
274 Bytes
| { | |
| "_note": "Marker for Hugging Face download counting. The model configuration is model/openjev_config.json; load with openjev.OpenJEV.from_pretrained.", | |
| "model_type": "openjev", | |
| "base_model": "google/gemma-4-E4B-it", | |
| "openjev_config": "model/openjev_config.json" | |
| } | |