Instructions to use PITICHA/mask-rcnn-coco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PITICHA/mask-rcnn-coco with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="PITICHA/mask-rcnn-coco", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("PITICHA/mask-rcnn-coco", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Create model/modeling_maskrcnn.py
Verified signature14bd5ef -
Create model/configuration_maskrcnn.py
Verified signature671a240 -
Create model/__init__.py
Verified signatureea61c61 -
Delete model/_init_.py
Verified signatureb79a6dd -
Create model/_init_.py
Verified signature1145cce -
Delete model
Verified signaturee464281 -
Create model
Verified signature26b90eb