Instructions to use M-CLIP/XLM-Roberta-Large-Vit-B-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use M-CLIP/XLM-Roberta-Large-Vit-B-32 with Transformers:
# Load model directly from transformers import SentenceModelWithLinearTransformation model = SentenceModelWithLinearTransformation.from_pretrained("M-CLIP/XLM-Roberta-Large-Vit-B-32", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "SentenceModelWithLinearTransformation" | |
| ], | |
| "modelBase": "xlm-roberta-large", | |
| "model_type": "M-CLIP", | |
| "numDims": 512, | |
| "transformerDimensions": 1024, | |
| "transformers_version": "4.8.1" | |
| } | |