Instructions to use wooseoko/clip-roberta-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wooseoko/clip-roberta-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="wooseoko/clip-roberta-finetuned")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("wooseoko/clip-roberta-finetuned") model = AutoModel.from_pretrained("wooseoko/clip-roberta-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87cd20453a32e765660839f4ea7c42e16410f7b508a48ffe1c37b4663376145d
- Size of remote file:
- 3.44 kB
- SHA256:
- 35749bfc1f0f75c061734b042c9571c79e3d012634d2e82af52c7db16642f62e
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