Instructions to use TalentoTechIA/william_Rosero with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TalentoTechIA/william_Rosero with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="TalentoTechIA/william_Rosero") 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("TalentoTechIA/william_Rosero") model = AutoModelForImageClassification.from_pretrained("TalentoTechIA/william_Rosero") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
530e02a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1ad2c91e2ba59165e05469e3aa3fffe5215a3aef254a1d80d9d907e901705b44
size 5368
|