Instructions to use AmineAllo/MT-lemon-sun-51 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AmineAllo/MT-lemon-sun-51 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="AmineAllo/MT-lemon-sun-51")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("AmineAllo/MT-lemon-sun-51") model = AutoModelForObjectDetection.from_pretrained("AmineAllo/MT-lemon-sun-51", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AmineAllo/MT-lemon-sun-51: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/AmineAllo/MT-lemon-sun-51/resolve/main/training_args.bin
- Command line
-
hf download hf://AmineAllo/MT-lemon-sun-51/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AmineAllo/MT-lemon-sun-51/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- 15a79e128e6b953237094eeda74aa75e9b9a9b5b4cf80dbae150cae6a531a463
- Size of remote file:
- 4.03 kB
- SHA256:
- d15e146a469b276ac1eed8a22d74ee865478b0d7cb5fc3890e4267e3abe204b7
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