Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use barten/vit-base-patch16-224-type with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use barten/vit-base-patch16-224-type with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="barten/vit-base-patch16-224-type") 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("barten/vit-base-patch16-224-type") model = AutoModelForImageClassification.from_pretrained("barten/vit-base-patch16-224-type") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 8
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 343290666
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:df3af9570ceeeb519b1dd7a5afbfb6c9b52c5bc9640d6a8ef8281b4385c3dd0e
|
| 3 |
size 343290666
|