Instructions to use Hayloo9838/uno-recognizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hayloo9838/uno-recognizer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Hayloo9838/uno-recognizer") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Hayloo9838/uno-recognizer") model = AutoModel.from_pretrained("Hayloo9838/uno-recognizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload clip_large.pth
Browse files- clip_large.pth +3 -0
clip_large.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:75c94c036def27a576a72d6c86260b69002cc46c66992e1196628ea3fe3c7224
|
| 3 |
+
size 1213108358
|