Image Classification
Transformers
TensorBoard
Safetensors
PyTorch
vit
huggingpics
Eval Results (legacy)
Instructions to use guyshalev/positions2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guyshalev/positions2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="guyshalev/positions2") 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("guyshalev/positions2") model = AutoModelForImageClassification.from_pretrained("guyshalev/positions2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
positions2
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo.
Example Images
no person
object close
object far
surfer squatting
surfer standing
- Downloads last month
- 6
Evaluation results
- Accuracyself-reported0.366




