Instructions to use unum-cloud/uform3-image-text-multilingual-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unum-cloud/uform3-image-text-multilingual-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="unum-cloud/uform3-image-text-multilingual-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("unum-cloud/uform3-image-text-multilingual-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
uform3-image-text-multilingual-base / image_encoder.mlpackage /Data /com.apple.CoreML /model.mlmodel
Download image_encoder.mlpackage/Data/com.apple.CoreML/model.mlmodel from unum-cloud/uform3-image-text-multilingual-base: direct link, hf CLI and curl.
- Browser
- Download file 111 kB
-
https://huggingface.co/unum-cloud/uform3-image-text-multilingual-base/resolve/main/image_encoder.mlpackage/Data/com.apple.CoreML/model.mlmodel
- Command line
-
hf download hf://unum-cloud/uform3-image-text-multilingual-base/image_encoder.mlpackage/Data/com.apple.CoreML/model.mlmodel
-
curl -L -o model.mlmodel https://huggingface.co/unum-cloud/uform3-image-text-multilingual-base/resolve/main/image_encoder.mlpackage/Data/com.apple.CoreML/model.mlmodel
111 kB
- Xet hash:
- c9918ba9232c570333923a721b3b4a55dcb6d3ce8e3df816c65e15918535ae04
- Size of remote file:
- 111 kB
- SHA256:
- 101d2a485d7f1fb9b13bb2e9b21017d41e0484c09d7252fa48cd45663bf6a7a0
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