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
Commit History
Huggingface yaml tags and edits cfb9f55
Add yaml and adjust table 358a8bb
Add README e421c71
move json file from lfs to normal git dc925ee
Updated Config 464cf46
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TF and PT Model & Tokenizer bc0f71e
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