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
File size: 138 Bytes
5ffccf8 | 1 2 3 4 5 6 7 | {
"processor_class": "CaipProcessor",
"context_length": 64,
"auto_map": {
"AutoProcessor": "processing_caip.CaipProcessor"
}
} |