Instructions to use AmineAllo/MT-neat-moon-53 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AmineAllo/MT-neat-moon-53 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="AmineAllo/MT-neat-moon-53")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("AmineAllo/MT-neat-moon-53") model = AutoModelForObjectDetection.from_pretrained("AmineAllo/MT-neat-moon-53", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Amine commited on
Commit ·
fc766a4
1
Parent(s): 31695ba
Training in progress, step 10
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 115384777
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f7a59076c3fdefe446027d4d2fdb95917d54c3998025884e7b84b741831ce629
|
| 3 |
size 115384777
|