Instructions to use danielgi97/ModeloATope with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danielgi97/ModeloATope with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="danielgi97/ModeloATope") 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("danielgi97/ModeloATope") model = AutoModelForImageClassification.from_pretrained("danielgi97/ModeloATope", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: cc-by-nc-4.0 | |
| tags: | |
| - vision | |
| - image-classification | |
| datasets: | |
| - omarques/autotrain-dogs-and-cats-1527055142 | |
| Repositorio original: omarques/autotrain-dogs-and-cats-1527055142 |