Instructions to use xiaomi-research/MiLMMT-46-4B-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xiaomi-research/MiLMMT-46-4B-v0.1 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-v0.1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("xiaomi-research/MiLMMT-46-4B-v0.1") model = AutoModelForMultimodalLM.from_pretrained("xiaomi-research/MiLMMT-46-4B-v0.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download main.png from xiaomi-research/MiLMMT-46-4B-v0.1: direct link, hf CLI and curl.
- Browser
- Download file 364 kB
-
https://huggingface.co/xiaomi-research/MiLMMT-46-4B-v0.1/resolve/main/main.png
- Command line
-
hf download hf://xiaomi-research/MiLMMT-46-4B-v0.1/main.png
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curl -L -o main.png https://huggingface.co/xiaomi-research/MiLMMT-46-4B-v0.1/resolve/main/main.png
364 kB

- Xet hash:
- 853cb24863ff6664b4e69feaac5d74a3a0e0cec025b7a3d74397f15d92716957
- Size of remote file:
- 364 kB
- SHA256:
- b64e81a96d673f0275bbfe912e1b9bf98589ab15964d64b3c731837e5b9f833e
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