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 multires_tissue_epoch125_datasetsize16000_fullmodel.keras
Browse files
.gitattributes
CHANGED
|
@@ -131,3 +131,4 @@ multires_tissue_epoch105_datasetsize16000_fullmodel.keras filter=lfs diff=lfs me
|
|
| 131 |
multires_tissue_epoch110_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
| 132 |
multires_tissue_epoch115_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
| 133 |
multires_tissue_epoch120_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 131 |
multires_tissue_epoch110_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
| 132 |
multires_tissue_epoch115_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
| 133 |
multires_tissue_epoch120_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
| 134 |
+
multires_tissue_epoch125_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
multires_tissue_epoch125_datasetsize16000_fullmodel.keras
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e09b209b2991c3d8c10c7daaf63722f62ac7f45e1cc0fe9081bd160bba6dfda0
|
| 3 |
+
size 331132048
|