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
| license: mit | |
| datasets: | |
| - uoft-cs/cifar10 | |
| language: | |
| - en | |
| pipeline_tag: image-classification | |
| library_name: transformers | |
| tags: | |
| - torch | |
| - SWIN | |
| - CNN | |