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 examples/basic_choice.py from bambamdevs/openjev-e4b: direct link, hf CLI and curl.
- Browser
- Download file 1.32 kB
-
https://huggingface.co/bambamdevs/openjev-e4b/resolve/main/examples/basic_choice.py
- Command line
-
hf download hf://bambamdevs/openjev-e4b/examples/basic_choice.py
-
curl -L -o basic_choice.py https://huggingface.co/bambamdevs/openjev-e4b/resolve/main/examples/basic_choice.py
1.32 kB
| """Run OpenJEV E4B 1.0 on a closed-choice question.""" | |
| import argparse | |
| from pathlib import Path | |
| from openjev import OpenJEV | |
| def main(): | |
| parser = argparse.ArgumentParser(description=__doc__) | |
| parser.add_argument("--state", default="Checkout fails after a deployment; customers cannot place orders.") | |
| parser.add_argument("--instruction", default="Which team should own this incident?") | |
| parser.add_argument("--option", dest="options", action="append", help="Repeat for each choice (at least two).") | |
| parser.add_argument("--load-mode", choices=("nf4", "bf16"), default="nf4") | |
| parser.add_argument("--device", default="cuda") | |
| parser.add_argument("--repo-dir", type=Path, default=Path(__file__).resolve().parents[1]) | |
| args = parser.parse_args() | |
| options = args.options or ["Billing", "Technical outages", "Sales"] | |
| if len(options) < 2: | |
| parser.error("pass at least two --option values") | |
| model = OpenJEV.from_pretrained(args.repo_dir, device=args.device, load_mode=args.load_mode) | |
| result = model.choice(state=args.state, instruction=args.instruction, options=options) | |
| for option, probability in zip(options, result["probabilities"]): | |
| print(f"{probability:.2%} {option}") | |
| print(f"Selected: {result['selected_option']}") | |
| if __name__ == "__main__": | |
| main() | |