Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
vit
huggingpics
Eval Results (legacy)
Instructions to use Bazaar/cv_canal_pollution_level with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bazaar/cv_canal_pollution_level with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Bazaar/cv_canal_pollution_level") 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("Bazaar/cv_canal_pollution_level") model = AutoModelForImageClassification.from_pretrained("Bazaar/cv_canal_pollution_level") - Notebooks
- Google Colab
- Kaggle
Commit ·
4033cba
1
Parent(s): b3161ec
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (680d46896d883bb98bf86107962bc12c951a26d4)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>