Instructions to use AmineAllo/MT-fallen-firebrand-113 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AmineAllo/MT-fallen-firebrand-113 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="AmineAllo/MT-fallen-firebrand-113")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("AmineAllo/MT-fallen-firebrand-113") model = AutoModelForObjectDetection.from_pretrained("AmineAllo/MT-fallen-firebrand-113", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AmineAllo/MT-fallen-firebrand-113: direct link, hf CLI and curl.
- Browser
- Download file 4.47 kB
-
https://huggingface.co/AmineAllo/MT-fallen-firebrand-113/resolve/main/training_args.bin
- Command line
-
hf download hf://AmineAllo/MT-fallen-firebrand-113/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AmineAllo/MT-fallen-firebrand-113/resolve/main/training_args.bin
4.47 kB
- Xet hash:
- 3aaece0c921d58fe91f09f3dc6d57bdd130c76874a113315dfb3ef6fb74053d3
- Size of remote file:
- 4.47 kB
- SHA256:
- 301c18047d9a380a7a245109185e35a7e65ef173ef5a6cd10ac35e93442d82aa
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