Instructions to use yuvansharma/caip-vitl256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yuvansharma/caip-vitl256 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="yuvansharma/caip-vitl256", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yuvansharma/caip-vitl256", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "processor_class": "CaipProcessor", | |
| "context_length": 64, | |
| "auto_map": { | |
| "AutoProcessor": "processing_caip.CaipProcessor" | |
| } | |
| } |