Instructions to use MnLgt/yolo-human-parse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MnLgt/yolo-human-parse with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="MnLgt/yolo-human-parse") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MnLgt/yolo-human-parse", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Jordan Davis commited on
Upload yolo-human-parse-epoch-125.pt with huggingface_hub
Browse files
yolo-human-parse-epoch-125.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a78215ccb99e5185249f41d03c17abef91f41dae3be2dd66f9633303856ed702
|
| 3 |
+
size 431332491
|