Instructions to use davanstrien/clip-roberta-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/clip-roberta-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="davanstrien/clip-roberta-finetuned")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("davanstrien/clip-roberta-finetuned") model = AutoModel.from_pretrained("davanstrien/clip-roberta-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12cda684b739798eb4260bbed1458a2a8f8fa8601d97a9b7cf306444f5a0ffd5
- Size of remote file:
- 852 MB
- SHA256:
- 4ae441d2912dcdee823a1f28611c56d70b30e100fb42c52ef2b88e287c061160
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