Instructions to use codewithdark/swim-neural-network with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codewithdark/swim-neural-network with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="codewithdark/swim-neural-network") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import PretrainSNN model = PretrainSNN.from_pretrained("codewithdark/swim-neural-network", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "PretrainSNN" | |
| ], | |
| "backbone": "resnet50", | |
| "dropout": 0.3, | |
| "embed_dim": 512, | |
| "model_type": "swim-neural-network", | |
| "num_classes": 10, | |
| "num_heads": 8, | |
| "tokenizer": null, | |
| "torch_dtype": "float32", | |
| "transformer_layers": 2, | |
| "transformers_version": "4.48.3" | |
| } | |