Instructions to use karoladelk/swin-tiny-patch4-window7-224-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karoladelk/swin-tiny-patch4-window7-224-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="karoladelk/swin-tiny-patch4-window7-224-classification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("karoladelk/swin-tiny-patch4-window7-224-classification") model = AutoModelForImageClassification.from_pretrained("karoladelk/swin-tiny-patch4-window7-224-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 5
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 110361288
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a7f687343544e8dacb4b018abd5de13cd4333b52b6e83d7b4be8bcc5c2c18279
|
| 3 |
size 110361288
|
runs/May10_13-56-27_5ef4b5b162fa/events.out.tfevents.1715349389.5ef4b5b162fa.34.0
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:f4f16013f06755c3bae1f4550a00757a3269bc0799d74b5210f5627fdf0a3b67
|
| 3 |
+
size 19774
|