Instructions to use sudo-s/exper_batch_8_e4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/exper_batch_8_e4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/exper_batch_8_e4") 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("sudo-s/exper_batch_8_e4") model = AutoModelForImageClassification.from_pretrained("sudo-s/exper_batch_8_e4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 202 Bytes
deb721e | 1 2 3 4 5 6 7 8 | {
"epoch": 4.0,
"eval_accuracy": 0.9182729375481882,
"eval_loss": 0.3352562189102173,
"eval_runtime": 40.9398,
"eval_samples_per_second": 63.361,
"eval_steps_per_second": 7.938
} |