Instructions to use aaa950739/trained_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aaa950739/trained_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="aaa950739/trained_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("aaa950739/trained_model") model = AutoModelForObjectDetection.from_pretrained("aaa950739/trained_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitignore from aaa950739/trained_model: direct link, hf CLI and curl.
- Browser
- Download file 13 Bytes
-
https://huggingface.co/aaa950739/trained_model/resolve/main/.gitignore
- Command line
-
hf download hf://aaa950739/trained_model/.gitignore
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curl -L -o .gitignore https://huggingface.co/aaa950739/trained_model/resolve/main/.gitignore
13 Bytes
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