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 / text_encoder_neural.mlpackage /Data /com.apple.CoreML /model.mlmodel
Download text_encoder_neural.mlpackage/Data/com.apple.CoreML/model.mlmodel from unum-cloud/uform3-image-text-multilingual-base: direct link, hf CLI and curl.
- Browser
- Download file 242 kB
-
https://huggingface.co/unum-cloud/uform3-image-text-multilingual-base/resolve/main/text_encoder_neural.mlpackage/Data/com.apple.CoreML/model.mlmodel
- Command line
-
hf download hf://unum-cloud/uform3-image-text-multilingual-base/text_encoder_neural.mlpackage/Data/com.apple.CoreML/model.mlmodel
-
curl -L -o model.mlmodel https://huggingface.co/unum-cloud/uform3-image-text-multilingual-base/resolve/main/text_encoder_neural.mlpackage/Data/com.apple.CoreML/model.mlmodel
242 kB
- Xet hash:
- e69ca653dcebbdbde606d94a516326c4dccb3012e90a273b42553f4766655d67
- Size of remote file:
- 242 kB
- SHA256:
- 70a1b26cfa779bb8f2a3cc46b7775bedc6adb6c7a953528188d3e437a48667a0
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