Instructions to use MirroS-Lab/Code-as-World-VL-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MirroS-Lab/Code-as-World-VL-4B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("MirroS-Lab/Code-as-World-VL-4B") model = AutoModelForMultimodalLM.from_pretrained("MirroS-Lab/Code-as-World-VL-4B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from MirroS-Lab/Code-as-World-VL-4B: direct link, hf CLI and curl.
- Browser
- Download file 10.4 GB
-
https://huggingface.co/MirroS-Lab/Code-as-World-VL-4B/resolve/main/model.safetensors
- Command line
-
hf download hf://MirroS-Lab/Code-as-World-VL-4B/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/MirroS-Lab/Code-as-World-VL-4B/resolve/main/model.safetensors
10.4 GB
- Xet hash:
- ed18c1217c528b6f93aa45d50e988ea4d026c1d1ddb481d2df60991db59f962c
- Size of remote file:
- 10.4 GB
- SHA256:
- b0a64f8fc11e9eb66b027901f503426557e45dcb61cbeb83a4fd529fe874f1bc
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