Instructions to use gghsgn/cvr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gghsgn/cvr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="gghsgn/cvr")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("gghsgn/cvr") model = AutoModelForObjectDetection.from_pretrained("gghsgn/cvr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (bbd01abb5ff98dffb9eb4157baf5f550cf825679)
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:110fda8c43198af922f8a7488c585d568df5eddad177fa1fa45d4a3dc660754e
|
| 3 |
+
size 25914032
|