Instructions to use imjuwon/aikuy1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use imjuwon/aikuy1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="imjuwon/aikuy1")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("imjuwon/aikuy1") model = AutoModelForObjectDetection.from_pretrained("imjuwon/aikuy1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from imjuwon/aikuy1: direct link, hf CLI and curl.
- Browser
- Download file 4.16 kB
-
https://huggingface.co/imjuwon/aikuy1/resolve/main/training_args.bin
- Command line
-
hf download hf://imjuwon/aikuy1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/imjuwon/aikuy1/resolve/main/training_args.bin
4.16 kB
- Xet hash:
- c128bc8ab1387a1eb0a309809c783b73dd1b6e852605eeaa1d111a4a1138c180
- Size of remote file:
- 4.16 kB
- SHA256:
- cba7a95007b8c2d630983dbd23d6986c280857162fe5b7c83189c7c0a158df22
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