Instructions to use shubhamWi91/train58 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shubhamWi91/train58 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="shubhamWi91/train58")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("shubhamWi91/train58") model = AutoModelForObjectDetection.from_pretrained("shubhamWi91/train58", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from shubhamWi91/train58: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/shubhamWi91/train58/resolve/main/training_args.bin
- Command line
-
hf download hf://shubhamWi91/train58/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/shubhamWi91/train58/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- 97b55897457a4bb923447279bf24419fbe7f3ebd69ef81157913018c5b38645b
- Size of remote file:
- 4.09 kB
- SHA256:
- 8e8bd307d867aa8ccb5fc4963daa5fab2196ea308bb0c553a3bb24fa34dca202
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