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_nuclei_epoch240_datasetsize16000_fullmodel.keras
Browse files
.gitattributes
CHANGED
|
@@ -328,3 +328,4 @@ multires_nuclei_epoch220_datasetsize16000_fullmodel.keras filter=lfs diff=lfs me
|
|
| 328 |
multires_nuclei_epoch225_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
| 329 |
multires_nuclei_epoch230_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
| 330 |
multires_nuclei_epoch235_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 328 |
multires_nuclei_epoch225_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
| 329 |
multires_nuclei_epoch230_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
| 330 |
multires_nuclei_epoch235_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
| 331 |
+
multires_nuclei_epoch240_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
multires_nuclei_epoch240_datasetsize16000_fullmodel.keras
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:541005d1720ad320f7a19f30d67637d4037a3e9346d4231f8c8f571da570f7e4
|
| 3 |
+
size 331138105
|