Instructions to use ZafarLocAI/mar_20_class_split_with_class_weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZafarLocAI/mar_20_class_split_with_class_weights with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ZafarLocAI/mar_20_class_split_with_class_weights") 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("ZafarLocAI/mar_20_class_split_with_class_weights") model = AutoModelForImageClassification.from_pretrained("ZafarLocAI/mar_20_class_split_with_class_weights", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download best/training_args.bin from ZafarLocAI/mar_20_class_split_with_class_weights: direct link, hf CLI and curl.
- Browser
- Download file 5.27 kB
-
https://huggingface.co/ZafarLocAI/mar_20_class_split_with_class_weights/resolve/main/best/training_args.bin
- Command line
-
hf download hf://ZafarLocAI/mar_20_class_split_with_class_weights/best/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/ZafarLocAI/mar_20_class_split_with_class_weights/resolve/main/best/training_args.bin
5.27 kB
- Xet hash:
- e4faf1b493757699ac1ee800a9734132811560d405addb91bea8c26dd4a75a6c
- Size of remote file:
- 5.27 kB
- SHA256:
- 825b79ba5f77f1a6e7e42d7a1628606ba3f6df55cd6d35653f2ff81bbba16027
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