Instructions to use wooseoko/clip-roberta-finetuned_GQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wooseoko/clip-roberta-finetuned_GQA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="wooseoko/clip-roberta-finetuned_GQA")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("wooseoko/clip-roberta-finetuned_GQA") model = AutoModel.from_pretrained("wooseoko/clip-roberta-finetuned_GQA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 163eeb619e466535a82cdc77b096011229e23ce35853b263344d039056d589ff
- Size of remote file:
- 852 MB
- SHA256:
- 78e39a6a559346168a190bc0ed70ae42f6293890949becf39211d31db4e18504
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