Instructions to use HorcruxNo13/beit-base-patch16-224-pt22k-ft22k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HorcruxNo13/beit-base-patch16-224-pt22k-ft22k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="HorcruxNo13/beit-base-patch16-224-pt22k-ft22k") 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("HorcruxNo13/beit-base-patch16-224-pt22k-ft22k") model = AutoModelForImageClassification.from_pretrained("HorcruxNo13/beit-base-patch16-224-pt22k-ft22k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download train_results.json from HorcruxNo13/beit-base-patch16-224-pt22k-ft22k: direct link, hf CLI and curl.
- Browser
- Download file 205 Bytes
-
https://huggingface.co/HorcruxNo13/beit-base-patch16-224-pt22k-ft22k/resolve/1a01bbf30c2ce010c0d3d9aeacc299100ce0847e/train_results.json
- Command line
-
hf download hf://HorcruxNo13/beit-base-patch16-224-pt22k-ft22k@1a01bbf30c2ce010c0d3d9aeacc299100ce0847e/train_results.json
-
curl -L -o train_results.json https://huggingface.co/HorcruxNo13/beit-base-patch16-224-pt22k-ft22k/resolve/1a01bbf30c2ce010c0d3d9aeacc299100ce0847e/train_results.json
205 Bytes
| { | |
| "epoch": 3.0, | |
| "total_flos": 2.32376605913088e+17, | |
| "train_loss": 3.054683963457743, | |
| "train_runtime": 175.6001, | |
| "train_samples_per_second": 17.084, | |
| "train_steps_per_second": 0.137 | |
| } |