Instructions to use chlab/efficientnet_61_planet_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chlab/efficientnet_61_planet_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="chlab/efficientnet_61_planet_detection") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("chlab/efficientnet_61_planet_detection", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,7 +1,9 @@
|
|
| 1 |
EfficientNet with 61 channels for prediction if a planet is in a protoplanetary disk using kinematic information
|
| 2 |
|
|
|
|
| 3 |
language:
|
| 4 |
- Python 3.7+
|
| 5 |
-
license: "
|
| 6 |
metrics:
|
| 7 |
-
- BCE
|
|
|
|
|
|
| 1 |
EfficientNet with 61 channels for prediction if a planet is in a protoplanetary disk using kinematic information
|
| 2 |
|
| 3 |
+
---
|
| 4 |
language:
|
| 5 |
- Python 3.7+
|
| 6 |
+
license: "afl-3.0"
|
| 7 |
metrics:
|
| 8 |
+
- BCE
|
| 9 |
+
---
|