Instructions to use sudo-s/exper_batch_8_e8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/exper_batch_8_e8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/exper_batch_8_e8") 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_e8") model = AutoModelForImageClassification.from_pretrained("sudo-s/exper_batch_8_e8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.905165767154973, | |
| "eval_loss": 0.46077683568000793, | |
| "eval_runtime": 43.0404, | |
| "eval_samples_per_second": 60.269, | |
| "eval_steps_per_second": 7.551 | |
| } |