Instructions to use binitt/hwars-buttons-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use binitt/hwars-buttons-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="binitt/hwars-buttons-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("binitt/hwars-buttons-model") model = AutoModelForObjectDetection.from_pretrained("binitt/hwars-buttons-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from binitt/hwars-buttons-model: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/binitt/hwars-buttons-model/resolve/main/training_args.bin
- Command line
-
hf download hf://binitt/hwars-buttons-model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/binitt/hwars-buttons-model/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 01142adbf09be8fab147471be990c93802c1e5464d91b17540a37b2c259e09d9
- Size of remote file:
- 4.92 kB
- SHA256:
- 70b5262ffb3026995ffc6dc28db66d0df568c71cd46b292da17fa04aeeaac634
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