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:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://tawsif18/puma_model_checkpoints") - Notebooks
- Google Colab
- Kaggle
Checkpoint multires_nuclei_epoch105_datasetsize16000_fullmodel.keras
Browse files
.gitattributes
CHANGED
|
@@ -301,3 +301,4 @@ multires_nuclei_epoch85_datasetsize16000_fullmodel.keras filter=lfs diff=lfs mer
|
|
| 301 |
multires_nuclei_epoch90_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
| 302 |
multires_nuclei_epoch95_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
| 303 |
multires_nuclei_epoch100_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 301 |
multires_nuclei_epoch90_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
| 302 |
multires_nuclei_epoch95_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
| 303 |
multires_nuclei_epoch100_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
| 304 |
+
multires_nuclei_epoch105_datasetsize16000_fullmodel.keras filter=lfs diff=lfs merge=lfs -text
|
multires_nuclei_epoch105_datasetsize16000_fullmodel.keras
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d8033648e0363c5599bb827a0ac2f237531e0e90c3ad16e67eb2969dd4e00591
|
| 3 |
+
size 331138105
|