Instructions to use DDingcheol/ToDoTaskResult with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DDingcheol/ToDoTaskResult with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="DDingcheol/ToDoTaskResult")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("DDingcheol/ToDoTaskResult") model = AutoModelForObjectDetection.from_pretrained("DDingcheol/ToDoTaskResult") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): aa405db
Training in progress, step 4000
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pytorch_model.bin
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