Instructions to use gghsgn/helm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gghsgn/helm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="gghsgn/helm")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("gghsgn/helm") model = AutoModelForObjectDetection.from_pretrained("gghsgn/helm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48a31b46710f21270ca99470b525a465c23b530c683753d45c7ae6d16f2bb2c7
- Size of remote file:
- 26 MB
- SHA256:
- 3518304c20cf0a02582bb201d502e5d5bb1ebed2e831b9c5bcc102e45350528d
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