Instructions to use nateraw/quickdraw-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use nateraw/quickdraw-model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://nateraw/quickdraw-model") - Notebooks
- Google Colab
- Kaggle
| {"labels": ["Apple", "Bowtie", "Candle", "Door", "Envelope", "Fish", "Guitar", "Ice Cream", "Lightning", "Moon", "Mountain", "Star", "Tent", "Toothbrush", "Wristwatch"], "id2label": {"0": "Apple", "1": "Bowtie", "2": "Candle", "3": "Door", "4": "Envelope", "5": "Fish", "6": "Guitar", "7": "Ice Cream", "8": "Lightning", "9": "Moon", "10": "Mountain", "11": "Star", "12": "Tent", "13": "Toothbrush", "14": "Wristwatch"}} |