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 pytorch_model.bin from AmineAllo/MT-lemon-sun-51: direct link, hf CLI and curl.
- Browser
- Download file 115 MB
-
https://huggingface.co/AmineAllo/MT-lemon-sun-51/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://AmineAllo/MT-lemon-sun-51/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AmineAllo/MT-lemon-sun-51/resolve/main/pytorch_model.bin
115 MB
- Xet hash:
- 661519a8946b85676c9caebce1f8d65642ee0d5226cb7b2425ed167155a9dc50
- Size of remote file:
- 115 MB
- SHA256:
- 71e671576231a43ccedfb4f8ef80f968ee4f42144a6cd763528566acc19db4b0
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