Instructions to use ipd805/digit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ipd805/digit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ipd805/digit")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ipd805/digit", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload best1-2.onnx with huggingface_hub
Browse files- best1-2.onnx +3 -0
best1-2.onnx
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:38af2f1ce9b1d86f6b82abd86a38b987ac858e67a32a0b0ba95db80fcd036ef7
|
| 3 |
+
size 44720316
|