Instructions to use AlexLien/trained_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlexLien/trained_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="AlexLien/trained_model")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("AlexLien/trained_model") model = AutoModelForObjectDetection.from_pretrained("AlexLien/trained_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9138b219ab8ab6fd577eefbd375f151756044f0a8ed5af63fb1b9d0a6373827c
- Size of remote file:
- 3.9 kB
- SHA256:
- 876b2e5903ac372eb2a44a37de71d1a709a8710a381ab551da4c1405040ab9ce
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