Instructions to use xiaomi-research/MiLMMT-46-4B-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xiaomi-research/MiLMMT-46-4B-v1.0 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("translation", model="xiaomi-research/MiLMMT-46-4B-v1.0")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("xiaomi-research/MiLMMT-46-4B-v1.0") model = AutoModelForMultimodalLM.from_pretrained("xiaomi-research/MiLMMT-46-4B-v1.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download main.png from xiaomi-research/MiLMMT-46-4B-v1.0: direct link, hf CLI and curl.
- Browser
- Download file 617 kB
-
https://huggingface.co/xiaomi-research/MiLMMT-46-4B-v1.0/resolve/main/main.png
- Command line
-
hf download hf://xiaomi-research/MiLMMT-46-4B-v1.0/main.png
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curl -L -o main.png https://huggingface.co/xiaomi-research/MiLMMT-46-4B-v1.0/resolve/main/main.png
617 kB

- Xet hash:
- 18001498aa2b3d391e2a3ff27058d1e9bd6dab057954a1ad6c13b087b4860afc
- Size of remote file:
- 617 kB
- SHA256:
- 4c185f494e133a57b1befb96cf8d81751246c93ce4e861d801375ef0aa643162
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