Feature Extraction
Transformers
TensorBoard
Safetensors
vision-text-dual-encoder
Generated from Trainer
Instructions to use pavement/clip-roberta-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pavement/clip-roberta-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="pavement/clip-roberta-finetuned")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("pavement/clip-roberta-finetuned") model = AutoModel.from_pretrained("pavement/clip-roberta-finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cfa575957a4b393833302b61acafe2cad2787310faf777133e207884471b5f14
- Size of remote file:
- 4.73 kB
- SHA256:
- 84ca8620f8bfc44eff3c93be7d8574795f14321ec432b7e70f637117c35b03b3
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