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
| { | |
| "fileFormatVersion": "1.0.0", | |
| "itemInfoEntries": { | |
| "690CB1E0-62DD-45EA-948E-FBBD7B246BE6": { | |
| "author": "com.apple.CoreML", | |
| "description": "CoreML Model Specification", | |
| "name": "model.mlmodel", | |
| "path": "com.apple.CoreML/model.mlmodel" | |
| }, | |
| "83ED2C72-7659-440D-A7C9-61793559340B": { | |
| "author": "com.apple.CoreML", | |
| "description": "CoreML Model Weights", | |
| "name": "weights", | |
| "path": "com.apple.CoreML/weights" | |
| } | |
| }, | |
| "rootModelIdentifier": "690CB1E0-62DD-45EA-948E-FBBD7B246BE6" | |
| } | |