Instructions to use hf-internal-testing/tiny-random-GroupViTModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-GroupViTModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-GroupViTModel")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-GroupViTModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-GroupViTModel") - Notebooks
- Google Colab
- Kaggle
fix batchnorm dimension issue
#4
by prathikr - opened
- onnx/model.onnx +2 -2
onnx/model.onnx
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 sha256:8352c17f66f7e42a79a178022d287b4609724331ae2a8703ec9fb972b381292b
|
| 3 |
+
size 4702427
|