Instructions to use TalentoTechIA/juanprueba with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TalentoTechIA/juanprueba with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="TalentoTechIA/juanprueba") 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/juanprueba") model = AutoModelForImageClassification.from_pretrained("TalentoTechIA/juanprueba") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.9699248120300752, | |
| "eval_loss": 0.137566477060318, | |
| "eval_runtime": 2.377, | |
| "eval_samples_per_second": 55.954, | |
| "eval_steps_per_second": 7.152 | |
| } |