Instructions to use LLyq/marco_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LLyq/marco_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="LLyq/marco_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("LLyq/marco_model") model = AutoModelForObjectDetection.from_pretrained("LLyq/marco_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from LLyq/marco_model: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/LLyq/marco_model/resolve/main/training_args.bin
- Command line
-
hf download hf://LLyq/marco_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/LLyq/marco_model/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 179058288b4c1bf51752007bbb58b9e126921527e04e26a1d08368a92b825e26
- Size of remote file:
- 5.11 kB
- SHA256:
- e73008b4ad3fad874f172a6149a3419b17116c28015a1d32c7c7d7d57adec5f0
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