Instructions to use adityagofi/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adityagofi/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="adityagofi/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("adityagofi/image_classification") model = AutoModelForImageClassification.from_pretrained("adityagofi/image_classification") - Notebooks
- Google Colab
- Kaggle
Commit ·
d932ad2
1
Parent(s): d7597fe
Training in progress, epoch 2
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 343284397
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:44f0f1f16d2d021e6548946b2223ea659450b4728e7d6b5e2aca32dd7662aea6
|
| 3 |
size 343284397
|