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 ·
fd7b61b
1
Parent(s): 8f16676
Update README.md
Browse files
README.md
CHANGED
|
@@ -3,6 +3,7 @@ widget:
|
|
| 3 |
- src: https://huggingface.co/MIDSCapstoneTeam/ContrailSentinel/contrail_shot.png
|
| 4 |
example_title: Contrail
|
| 5 |
pipeline_tag: image-segmentation
|
|
|
|
| 6 |
---
|
| 7 |
|
| 8 |
## Model description
|
|
|
|
| 3 |
- src: https://huggingface.co/MIDSCapstoneTeam/ContrailSentinel/contrail_shot.png
|
| 4 |
example_title: Contrail
|
| 5 |
pipeline_tag: image-segmentation
|
| 6 |
+
library_name: pytorch
|
| 7 |
---
|
| 8 |
|
| 9 |
## Model description
|