Instructions to use pjura/mahjong_soul_vision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pjura/mahjong_soul_vision with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="pjura/mahjong_soul_vision") 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("pjura/mahjong_soul_vision") model = AutoModelForImageClassification.from_pretrained("pjura/mahjong_soul_vision") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c7f7f71f2cc671f527bd5cc9d1751b88f45cf7d9ccfc4254eab2be31ec1926a
- Size of remote file:
- 343 MB
- SHA256:
- a3cc566c8011b4496239a5228de3985e37ba2c2dfceefd52f67bb34c5f7e49c0
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