Instructions to use SummerChiam/pond_image_classification_7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SummerChiam/pond_image_classification_7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="SummerChiam/pond_image_classification_7") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("SummerChiam/pond_image_classification_7") model = AutoModelForImageClassification.from_pretrained("SummerChiam/pond_image_classification_7") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- .gitattributes +1 -0
- model.safetensors +3 -0
.gitattributes
CHANGED
|
@@ -36,3 +36,4 @@ images/Normal.png filter=lfs diff=lfs merge=lfs -text
|
|
| 36 |
images/NormalCement.png filter=lfs diff=lfs merge=lfs -text
|
| 37 |
images/NormalNight.png filter=lfs diff=lfs merge=lfs -text
|
| 38 |
images/NormalRain.png filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 36 |
images/NormalCement.png filter=lfs diff=lfs merge=lfs -text
|
| 37 |
images/NormalNight.png filter=lfs diff=lfs merge=lfs -text
|
| 38 |
images/NormalRain.png filter=lfs diff=lfs merge=lfs -text
|
| 39 |
+
model.safetensors filter=lfs diff=lfs merge=lfs -text
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:98d79ae76e868278c1a5425d6ef14f2343928edcdcadfe66f40957d99c063636
|
| 3 |
+
size 343239356
|