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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b05b37e5c8cb030d76d70b4d741591280d5535eeb13777b768c9752178a8274a
- Size of remote file:
- 2.24 GB
- SHA256:
- c33a6bec12ba8251492f1e4068c39507c1512692a2e0e7f37cdcf8cdaf7aa2f8
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