Any-to-Any
MLX
Safetensors
gemma4
mlx-vlm
rlcd
multimodal
classification
parallel-inference
image-text-to-text
audio
video
4-bit precision
Instructions to use larkooo/gemma-e2b-rlcd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use larkooo/gemma-e2b-rlcd with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir gemma-e2b-rlcd larkooo/gemma-e2b-rlcd
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 471 Bytes
53e24ca | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"state": {"text": "A cat sleeps on the sofa. No dogs are present."},
"questions": {
"animal": {
"type": "choice",
"instructions": "Which animal is present?",
"criteria": {"cat": "A cat", "dog": "A dog", "other": "Neither a cat nor a dog"}
},
"presence": {
"type": "independent",
"instructions": "Which animals are present in the state?",
"criteria": {"cat": "A cat is present", "dog": "A dog is present"}
}
}
}
|