Instructions to use rocky250/HibirdNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use rocky250/HibirdNet with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://rocky250/HibirdNet") - Notebooks
- Google Colab
- Kaggle
| ["Asian-Green-Bee-Eater", "Brown-Headed-Barbet", "Cattle-Egret", "Common-Kingfisher", "Common-Myna", "Common-Rosefinch", "Common-Tailorbird", "Coppersmith-Barbet", "Forest-Wagtail", "Gray-Wagtail", "Hoopoe", "House-Crow", "Indian-Grey-Hornbill", "Indian-Peacock", "Indian-Pitta", "Indian-Roller", "Jungle-Babbler", "Northern-Lapwing", "Red-Wattled-Lapwing", "Ruddy-Shelduck", "Rufous-Treepie", "Sarus-Crane", "White-Breasted-Kingfisher", "White-Breasted-Waterhen", "White-Wagtail"] |