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 attention_tissue_epoch20_datasetsize15836_fullmodel.keras
Browse files
.gitattributes
CHANGED
|
@@ -47,3 +47,4 @@ multires_tissue_epoch50_datasetsize5000_fullmodel.keras filter=lfs diff=lfs merg
|
|
| 47 |
attention_tissue_epoch10_datasetsize15836_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
| 48 |
unet_tissue_epoch10_datasetsize15836_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
| 49 |
sharp_tissue_epoch10_datasetsize15836_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 47 |
attention_tissue_epoch10_datasetsize15836_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
| 48 |
unet_tissue_epoch10_datasetsize15836_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
| 49 |
sharp_tissue_epoch10_datasetsize15836_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
| 50 |
+
attention_tissue_epoch20_datasetsize15836_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
attention_tissue_epoch20_datasetsize15836_fullmodel.keras
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:39e57984c9dd64ef27f45c7817ec99595753aa38457f639be520a4a591afdb72
|
| 3 |
+
size 656275256
|