Instructions to use ahishamm/vit-large-binary-isic-sharpened-patch-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahishamm/vit-large-binary-isic-sharpened-patch-32 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ahishamm/vit-large-binary-isic-sharpened-patch-32") 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("ahishamm/vit-large-binary-isic-sharpened-patch-32") model = AutoModelForImageClassification.from_pretrained("ahishamm/vit-large-binary-isic-sharpened-patch-32") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 4300
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1222183725
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7dcf5b1df1f914cf520a2a7a755ee2590fc63fbc85c1ddd06ba9e4bb9e5bebda
|
| 3 |
size 1222183725
|
runs/Jul01_16-27-51_293c456ba153/events.out.tfevents.1688228876.293c456ba153.1472.6
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 sha256:032a843da6adc0b7656fe246adaca7ac70bb0ff9e2e1711918c3c4fbf29cb6d9
|
| 3 |
+
size 91849
|