Instructions to use kraftman1/image_ecommerce_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kraftman1/image_ecommerce_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="kraftman1/image_ecommerce_classifier") 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("kraftman1/image_ecommerce_classifier") model = AutoModelForImageClassification.from_pretrained("kraftman1/image_ecommerce_classifier") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 343345581
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f7f1aeceab57b88463a55d61cc315a8a596e3c04354923ac93c3fe225a088936
|
| 3 |
size 343345581
|
runs/Apr12_03-22-51_00d652075150/events.out.tfevents.1681269858.00d652075150.533.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2901c49c37ce5293a7767139a6d7e57d74aa083293aafe1a1066e04f7314d41e
|
| 3 |
+
size 31432
|