Instructions to use ahishamm/vit-base-PH2-sharpened-patch-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahishamm/vit-base-PH2-sharpened-patch-32 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ahishamm/vit-base-PH2-sharpened-patch-32") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("ahishamm/vit-base-PH2-sharpened-patch-32") model = AutoModelForImageClassification.from_pretrained("ahishamm/vit-base-PH2-sharpened-patch-32", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from ahishamm/vit-base-PH2-sharpened-patch-32: direct link, hf CLI and curl.
- Browser
- Download file 1.19 kB
-
https://huggingface.co/ahishamm/vit-base-PH2-sharpened-patch-32/resolve/main/trainer_state.json
- Command line
-
hf download hf://ahishamm/vit-base-PH2-sharpened-patch-32/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/ahishamm/vit-base-PH2-sharpened-patch-32/resolve/main/trainer_state.json
1.19 kB
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 4.0, | |
| "global_step": 52, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.77, | |
| "learning_rate": 0.00016153846153846155, | |
| "loss": 0.3633, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "learning_rate": 0.0001230769230769231, | |
| "loss": 0.2712, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 2.31, | |
| "learning_rate": 8.461538461538461e-05, | |
| "loss": 0.1212, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 3.08, | |
| "learning_rate": 4.615384615384616e-05, | |
| "loss": 0.0929, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 3.85, | |
| "learning_rate": 7.692307692307694e-06, | |
| "loss": 0.0569, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "step": 52, | |
| "total_flos": 6.3190524837888e+16, | |
| "train_loss": 0.17656130974109358, | |
| "train_runtime": 18.7317, | |
| "train_samples_per_second": 42.708, | |
| "train_steps_per_second": 2.776 | |
| } | |
| ], | |
| "max_steps": 52, | |
| "num_train_epochs": 4, | |
| "total_flos": 6.3190524837888e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |