Instructions to use ronka/postureDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ronka/postureDetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ronka/postureDetection") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("ronka/postureDetection") model = AutoModelForImageClassification.from_pretrained("ronka/postureDetection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 165 Bytes
d3cfe4f | 1 2 3 4 5 6 7 | {
"epoch": 4.0,
"train_loss": 0.49794552226861316,
"train_runtime": 44.8816,
"train_samples_per_second": 3.298,
"train_steps_per_second": 0.267
} |