Instructions to use HanzhiZhang/lowResSegModel_Vehicle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HanzhiZhang/lowResSegModel_Vehicle with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="HanzhiZhang/lowResSegModel_Vehicle")# Load model directly from transformers import AutoProcessor, AutoModelForMaskGeneration processor = AutoProcessor.from_pretrained("HanzhiZhang/lowResSegModel_Vehicle") model = AutoModelForMaskGeneration.from_pretrained("HanzhiZhang/lowResSegModel_Vehicle") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 374979376
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e37ba4af335d140875258aa77d16b49dbcda4faf17370789920ee67cbc6e9171
|
| 3 |
size 374979376
|