Instructions to use codewithdark/HybridLinformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codewithdark/HybridLinformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="codewithdark/HybridLinformer") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import PretrainHvitLinformer model = PretrainHvitLinformer.from_pretrained("codewithdark/HybridLinformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 241 Bytes
4c8d90b | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"architectures": [
"PretrainHvitLinformer"
],
"backbone": "resnet50",
"embed_dim": 512,
"model_type": "HybridLinformer",
"num_classes": 14,
"num_heads": 8,
"torch_dtype": "float32",
"transformers_version": "4.48.3"
}
|