Instructions to use yaboidimsum/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yaboidimsum/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="yaboidimsum/image_classification") 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("yaboidimsum/image_classification") model = AutoModelForImageClassification.from_pretrained("yaboidimsum/image_classification") - Notebooks
- Google Colab
- Kaggle
Commit ·
f03d86a
1
Parent(s): 564f631
Training in progress, epoch 3
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 343287149
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8209518c2d68f3d68f15f2743865e42f12b8f66318d3be15ebd7cd9b60c82b67
|
| 3 |
size 343287149
|