Instructions to use jozhang97/deta-swin-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jozhang97/deta-swin-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="jozhang97/deta-swin-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForObjectDetection model = AutoModelForObjectDetection.from_pretrained("jozhang97/deta-swin-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload config.json (#2)
Verified signature- Upload config.json (a060b726659c9b1eea61e47cf7d70275ed19e7e6) Co-authored-by: sangbum choi <sbchoi@users.noreply.huggingface.co>6fe2979
-
Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (488320db36aec637d6fd7f61450167ab9cf77482) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>dbd8000
-
Create README.md
001b61f -
Upload processor
8674c38 -
Upload DetaForObjectDetection
38c26ce -
Upload processor
ad83103 -
Upload DetaForObjectDetection
ca27551 -
Upload processor
a0177c9 -
Upload DetaForObjectDetection
68f23f1 -
Upload processor
95ececa -
initial commit
c6ece8a