Instructions to use sudo-s/modelversion01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/modelversion01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/modelversion01") 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/modelversion01") model = AutoModelForImageClassification.from_pretrained("sudo-s/modelversion01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 203 Bytes
fd5665d | 1 2 3 4 5 6 7 8 | {
"epoch": 1.0,
"total_flos": 7.922356224994714e+17,
"train_loss": 2.18192570049065,
"train_runtime": 471.371,
"train_samples_per_second": 21.66,
"train_steps_per_second": 1.356
} |