Instructions to use BenitoMF/helloworld_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BenitoMF/helloworld_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="BenitoMF/helloworld_model") 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("BenitoMF/helloworld_model") model = AutoModelForImageClassification.from_pretrained("BenitoMF/helloworld_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| language: | |
| - es | |
| base_model: | |
| - omarques/autotrain-dogs-and-cats-1527055142 | |
| tags: | |
| - vision | |
| - image-classification | |
| library_name: transformers | |