Instructions to use MeTask-Rain/MetaDecision-31B-Rain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MeTask-Rain/MetaDecision-31B-Rain with PEFT:
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- Notebooks
- Google Colab
- Kaggle
File size: 650 Bytes
068cb14 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | """Report a missing processor config in the model folder; never downloads or copies."""
from pathlib import Path
# Gemma 4 keeps its processor settings in processor_config.json; the checkpoint has no
# preprocessor_config.json or video_preprocessor_config.json and needs neither.
NAMES=('processor_config.json',)
def report_processor_configs(model_dir):
"""Print nothing for a complete model folder; return the missing names."""
p=Path(model_dir)
missing=[n for n in NAMES if not (p/n).is_file()]
if missing:
print('[model_setup] processor config not in the model folder: '+', '.join(missing),flush=True)
return missing
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