Instructions to use smdesai/SmolVLM2-2.2B-Instruct-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use smdesai/SmolVLM2-2.2B-Instruct-4bit with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("smdesai/SmolVLM2-2.2B-Instruct-4bit") model = AutoModelForImageTextToText.from_pretrained("smdesai/SmolVLM2-2.2B-Instruct-4bit") - MLX
How to use smdesai/SmolVLM2-2.2B-Instruct-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir SmolVLM2-2.2B-Instruct-4bit smdesai/SmolVLM2-2.2B-Instruct-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
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