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")# 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
- Xet hash:
- 7c78ea524bafae9498acf0add534811a565da829c4ed13a86fbd1af77240d214
- Size of remote file:
- 172 MB
- SHA256:
- 02b7d4306999f49a70ddfe60e69932428a9c81709bef702f99d9c4380f987645
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