Instructions to use MonasticAcademy/posture_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MonasticAcademy/posture_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="MonasticAcademy/posture_model") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("MonasticAcademy/posture_model") model = AutoModelForImageClassification.from_pretrained("MonasticAcademy/posture_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from MonasticAcademy/posture_model: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/MonasticAcademy/posture_model/resolve/main/training_args.bin
- Command line
-
hf download hf://MonasticAcademy/posture_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/MonasticAcademy/posture_model/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- 44e71cf1d246672c0a58e5d3806edbbd010762360e545a93ad25417d45c17294
- Size of remote file:
- 3.96 kB
- SHA256:
- bdb68d0c0fab4c573ba2cbbbc0b040f2c743b22c55e6723c636e33182af88818
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