Instructions to use gary2002/output_dir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gary2002/output_dir with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="gary2002/output_dir") 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("gary2002/output_dir") model = AutoModelForImageClassification.from_pretrained("gary2002/output_dir") - Notebooks
- Google Colab
- Kaggle
File size: 389 Bytes
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"epoch": 3.0,
"eval_accuracy": 0.9876543209876543,
"eval_loss": 0.8449140191078186,
"eval_runtime": 4.6209,
"eval_samples_per_second": 17.529,
"eval_steps_per_second": 4.545,
"total_flos": 1.6948561394167603e+17,
"train_loss": 0.7343477571391623,
"train_runtime": 162.6903,
"train_samples_per_second": 13.443,
"train_steps_per_second": 1.346
} |