Instructions to use dyllanesl/ASL_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dyllanesl/ASL_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="dyllanesl/ASL_Classifier") 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("dyllanesl/ASL_Classifier") model = AutoModelForImageClassification.from_pretrained("dyllanesl/ASL_Classifier") - Notebooks
- Google Colab
- Kaggle
Upload scheduler.pt
Browse files- scheduler.pt +3 -0
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c9f3d550a887f20285cdf4c8f222ab0d6fafc7824f677c50b17fb6c664255131
|
| 3 |
+
size 1064
|