Instructions to use tawsif18/puma_model_checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use tawsif18/puma_model_checkpoints with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://tawsif18/puma_model_checkpoints") - Notebooks
- Google Colab
- Kaggle
Checkpoint sharp_nuclei_epoch215_datasetsize16000_fullmodel.keras
Browse files
.gitattributes
CHANGED
|
@@ -278,3 +278,4 @@ sharp_nuclei_epoch205_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge
|
|
| 278 |
multires_nuclei_epoch30_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
| 279 |
sharp_nuclei_epoch210_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
| 280 |
multires_nuclei_epoch35_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 278 |
multires_nuclei_epoch30_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
| 279 |
sharp_nuclei_epoch210_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
| 280 |
multires_nuclei_epoch35_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
| 281 |
+
sharp_nuclei_epoch215_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
sharp_nuclei_epoch215_datasetsize16000_fullmodel.keras
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f882b7352127efdd45f40236b7da4760fe2624e5a0d3dc7ceb8088bb44b89fa4
|
| 3 |
+
size 753620135
|