Instructions to use bilbo991/clip-roberta-100k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bilbo991/clip-roberta-100k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bilbo991/clip-roberta-100k")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("bilbo991/clip-roberta-100k") model = AutoModel.from_pretrained("bilbo991/clip-roberta-100k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfc3603ae90ce5acd198aacae028c9e866a6d0d0608134152eba8d67465af2f2
- Size of remote file:
- 17.1 MB
- SHA256:
- 4c08c80d1df11b82ada2fd707562f86a9ebd5b7de04f51ebd2b49f2cd5906d00
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