Instructions to use ogimgio/vit-base-highways-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ogimgio/vit-base-highways-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ogimgio/vit-base-highways-2") 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("ogimgio/vit-base-highways-2") model = AutoModelForImageClassification.from_pretrained("ogimgio/vit-base-highways-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 100
Browse files- all_results.json +5 -5
- eval_results.json +6 -6
- pytorch_model.bin +1 -1
- runs/Mar23_08-01-39_4f145e478cc3/events.out.tfevents.1679559265.4f145e478cc3.6994.7 +3 -0
- runs/Mar23_08-17-08_4f145e478cc3/1679559432.3089452/events.out.tfevents.1679559432.4f145e478cc3.6994.9 +3 -0
- runs/Mar23_08-17-08_4f145e478cc3/events.out.tfevents.1679559432.4f145e478cc3.6994.8 +3 -0
- training_args.bin +1 -1
all_results.json
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"epoch": 10.0,
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"total_flos": 1.4800970016387072e+17,
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"train_loss": 0.10321386102586985,
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"train_runtime": 163.7528,
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{
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"epoch": 10.0,
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"eval_accuracy": 0.7,
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"eval_loss": 1.2668935060501099,
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"eval_runtime": 0.3131,
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"eval_samples_per_second": 31.941,
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"eval_steps_per_second": 6.388,
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"total_flos": 1.4800970016387072e+17,
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"train_loss": 0.10321386102586985,
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"train_runtime": 163.7528,
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eval_results.json
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"eval_accuracy": 0.7,
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"eval_loss": 1.2668935060501099,
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"eval_runtime": 0.3131,
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"eval_samples_per_second": 31.941,
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"eval_steps_per_second": 6.388
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pytorch_model.bin
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runs/Mar23_08-01-39_4f145e478cc3/events.out.tfevents.1679559265.4f145e478cc3.6994.7
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runs/Mar23_08-17-08_4f145e478cc3/1679559432.3089452/events.out.tfevents.1679559432.4f145e478cc3.6994.9
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runs/Mar23_08-17-08_4f145e478cc3/events.out.tfevents.1679559432.4f145e478cc3.6994.8
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training_args.bin
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