Feature Extraction
Transformers
Safetensors
autojev_decision
jev
decision
autojev
typed-decision
classification
distillation
custom_code
Instructions to use inclusionAI/LemonDecider with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inclusionAI/LemonDecider with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="inclusionAI/LemonDecider", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("inclusionAI/LemonDecider", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download LICENSE.code from inclusionAI/LemonDecider: direct link, hf CLI and curl.
- Browser
- Download file 1.07 kB
-
https://huggingface.co/inclusionAI/LemonDecider/resolve/main/LICENSE.code
- Command line
-
hf download hf://inclusionAI/LemonDecider/LICENSE.code
-
curl -L -o LICENSE.code https://huggingface.co/inclusionAI/LemonDecider/resolve/main/LICENSE.code
1.07 kB
| MIT License | |
| Copyright (c) 2026 Denis Yarats | |
| Permission is hereby granted, free of charge, to any person obtaining a copy | |
| of this software and associated documentation files (the "Software"), to deal | |
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| SOFTWARE. | |