Instructions to use vikp/surya_layout4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vikp/surya_layout4 with Transformers:
# Load model directly from transformers import EfficientViTForSemanticSegmentation model = EfficientViTForSemanticSegmentation.from_pretrained("vikp/surya_layout4", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload EfficientViTForSemanticSegmentation
Browse files- config.json +1 -1
- model.safetensors +2 -2
config.json
CHANGED
|
@@ -68,7 +68,7 @@
|
|
| 68 |
2,
|
| 69 |
2
|
| 70 |
],
|
| 71 |
-
"torch_dtype": "
|
| 72 |
"transformers_version": "4.41.2",
|
| 73 |
"widths": [
|
| 74 |
32,
|
|
|
|
| 68 |
2,
|
| 69 |
2
|
| 70 |
],
|
| 71 |
+
"torch_dtype": "float32",
|
| 72 |
"transformers_version": "4.41.2",
|
| 73 |
"widths": [
|
| 74 |
32,
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:48244c907853b3372de94eb9cac1cf415d9201a63f3cab858ab753b7f8651ac9
|
| 3 |
+
size 153848176
|