Instructions to use willyrob/better-DINO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use willyrob/better-DINO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="willyrob/better-DINO") 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("willyrob/better-DINO") model = AutoModelForImageClassification.from_pretrained("willyrob/better-DINO", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 300
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 346568968
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1ad61894f3251c95c408f10c2f312a20f0405c461957935a1cccbebd9736435e
|
| 3 |
size 346568968
|