Instructions to use VilaVision/dentalmisalignmentdetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use VilaVision/dentalmisalignmentdetection with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://VilaVision/dentalmisalignmentdetection") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -78,7 +78,7 @@ from tensorflow import keras
|
|
| 78 |
from huggingface_hub import hf_hub_download
|
| 79 |
|
| 80 |
# Download model
|
| 81 |
-
model_path = hf_hub_download(repo_id="
|
| 82 |
model = keras.models.load_model(model_path)
|
| 83 |
|
| 84 |
# Preprocess image
|
|
|
|
| 78 |
from huggingface_hub import hf_hub_download
|
| 79 |
|
| 80 |
# Download model
|
| 81 |
+
model_path = hf_hub_download(repo_id="VilaVision/dentalmisalignmentdetection", filename="final_teeth_model.keras")
|
| 82 |
model = keras.models.load_model(model_path)
|
| 83 |
|
| 84 |
# Preprocess image
|