Instructions to use MIDSCapstoneTeam/ContrailSentinel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use MIDSCapstoneTeam/ContrailSentinel with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://MIDSCapstoneTeam/ContrailSentinel") - Notebooks
- Google Colab
- Kaggle
Commit ·
7bc570e
1
Parent(s): 57309d0
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,10 +1,9 @@
|
|
| 1 |
---
|
| 2 |
-
|
| 3 |
widget:
|
| 4 |
- src: https://huggingface.co/MIDSCapstoneTeam/ContrailSentinel/contrail_shot.png
|
| 5 |
example_title: Contrail
|
| 6 |
-
|
| 7 |
library_name: keras
|
|
|
|
| 8 |
---
|
| 9 |
|
| 10 |
## Model description
|
|
@@ -42,5 +41,4 @@ The following hyperparameters were used during training:
|
|
| 42 |
| momentum | 0.0 |
|
| 43 |
| epsilon | 1e-07 |
|
| 44 |
| centered | False |
|
| 45 |
-
| training_precision | float32 |
|
| 46 |
-
|
|
|
|
| 1 |
---
|
|
|
|
| 2 |
widget:
|
| 3 |
- src: https://huggingface.co/MIDSCapstoneTeam/ContrailSentinel/contrail_shot.png
|
| 4 |
example_title: Contrail
|
|
|
|
| 5 |
library_name: keras
|
| 6 |
+
pipeline_tag: image-segmentation
|
| 7 |
---
|
| 8 |
|
| 9 |
## Model description
|
|
|
|
| 41 |
| momentum | 0.0 |
|
| 42 |
| epsilon | 1e-07 |
|
| 43 |
| centered | False |
|
| 44 |
+
| training_precision | float32 |
|
|
|