Instructions to use danielfein/raid-ce-gemma4-e4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danielfein/raid-ce-gemma4-e4b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("danielfein/raid-ce-gemma4-e4b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 480 Bytes
a4019dd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | """Core package for training and using detection-token checkpoints."""
from .config import PipelineConfig
from .pipeline import (
prepare_data,
run_dataset_binary_evaluation,
run_holdout_evaluation,
run_training,
run_training_pipeline,
score_single_text,
)
__all__ = [
"PipelineConfig",
"prepare_data",
"run_dataset_binary_evaluation",
"run_holdout_evaluation",
"run_training",
"run_training_pipeline",
"score_single_text",
]
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