Instructions to use KETI-AIR/clip-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KETI-AIR/clip-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="KETI-AIR/clip-roberta-base")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("KETI-AIR/clip-roberta-base") model = AutoModel.from_pretrained("KETI-AIR/clip-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f0a46e114c07824a05c3fef6d4074d7d54184aa8c70153bb2e388ab57abf53ec
- Size of remote file:
- 852 MB
- SHA256:
- 8dab599308fc85657bc6f30969ec70edec4c168343ad02b10334a248ca83b722
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.