Instructions to use codewithdark/hvit-linformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codewithdark/hvit-linformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="codewithdark/hvit-linformer") 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/hvit-linformer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "PretrainHvitLinformer" | |
| ], | |
| "backbone": "resnet50", | |
| "embed_dim": 512, | |
| "model_type": "hvit-linformer", | |
| "num_classes": 10, | |
| "num_heads": 8, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.48.3" | |
| } | |