Instructions to use Prot10/convnextv2-base-1k-224-for-pre_evaluation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prot10/convnextv2-base-1k-224-for-pre_evaluation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Prot10/convnextv2-base-1k-224-for-pre_evaluation") 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("Prot10/convnextv2-base-1k-224-for-pre_evaluation") model = AutoModelForImageClassification.from_pretrained("Prot10/convnextv2-base-1k-224-for-pre_evaluation") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 30.0, | |
| "eval_accuracy": 0.41899441340782123, | |
| "eval_loss": 1.359870195388794, | |
| "eval_runtime": 7.4764, | |
| "eval_samples_per_second": 47.884, | |
| "eval_steps_per_second": 1.605 | |
| } |