Instructions to use danelcsb/sam2_hiera_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danelcsb/sam2_hiera_tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="danelcsb/sam2_hiera_tiny")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("danelcsb/sam2_hiera_tiny") model = AutoModel.from_pretrained("danelcsb/sam2_hiera_tiny") - Notebooks
- Google Colab
- Kaggle
Upload sam2_hiera_tiny.pt
Browse files- sam2_hiera_tiny.pt +3 -0
sam2_hiera_tiny.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:65b50056e05bcb13694174f51bb6da89c894b57b75ccdf0ba6352c597c5d1125
|
| 3 |
+
size 155906050
|