Instructions to use harun-767/dog-breed-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harun-767/dog-breed-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="harun-767/dog-breed-classifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("harun-767/dog-breed-classifier") model = AutoModelForImageClassification.from_pretrained("harun-767/dog-breed-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| pipeline_tag: image-classification | |
| library_name: transformers | |
| tags: | |
| - dog | |
| - image-classification | |
| --- | |
| license: mit | |
| --- | |
| --- | |
| pipeline_tag: image-classification | |
| library_name: transformers | |
| tags: | |
| - image-classification | |
| - pytorch | |
| - vision | |
| --- |