Instructions to use sngsfydy/BEiT_with_Trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sngsfydy/BEiT_with_Trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sngsfydy/BEiT_with_Trainer") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("sngsfydy/BEiT_with_Trainer") model = AutoModelForImageClassification.from_pretrained("sngsfydy/BEiT_with_Trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fdab898f83020168261a013fc7920dce6a98445447e4a9e4810dc6463d734fc9
- Size of remote file:
- 343 MB
- SHA256:
- f344415963eca3c2a78734c165e5e087976764203d8247097ead6bc8e6a6356e
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