Instructions to use pyronear/rexnet1_0x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pyronear/rexnet1_0x with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="pyronear/rexnet1_0x") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pyronear/rexnet1_0x", dtype="auto") - Notebooks
- Google Colab
- Kaggle
frgfm commited on
Commit ·
74de4bd
1
Parent(s): 30977a1
feat: Updated ReXNet checkpoint
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14354657
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6822e18d194cc3af719a003c8431163c8945015216a6e21349430a2b3b53a953
|
| 3 |
size 14354657
|