Instructions to use mikerol/beta7-ViT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mikerol/beta7-ViT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mikerol/beta7-ViT") 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("mikerol/beta7-ViT") model = AutoModelForImageClassification.from_pretrained("mikerol/beta7-ViT") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 343528508
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:73a635d9a38ffc303f8747aa00b547e088edd3eac4ceb7bf2db1d6d797b10369
|
| 3 |
size 343528508
|
runs/Dec19_15-25-23_eb79c9390f31/events.out.tfevents.1766157924.eb79c9390f31.361.0
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:ee76a0dbeae0b02b617d2452b5bde9893307da43d674e95875d09784de57729b
|
| 3 |
+
size 15011
|