Instructions to use kiranshivaraju/convnext-xlarge-224-22k-1k-v14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kiranshivaraju/convnext-xlarge-224-22k-1k-v14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="kiranshivaraju/convnext-xlarge-224-22k-1k-v14") 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("kiranshivaraju/convnext-xlarge-224-22k-1k-v14") model = AutoModelForImageClassification.from_pretrained("kiranshivaraju/convnext-xlarge-224-22k-1k-v14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "total_flos": 1.0772707724270715e+18, | |
| "train_loss": 0.12385351238427339, | |
| "train_runtime": 162.1968, | |
| "train_samples_per_second": 21.122, | |
| "train_steps_per_second": 0.166 | |
| } |