Instructions to use Hayloo9838/uno-recognizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hayloo9838/uno-recognizer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Hayloo9838/uno-recognizer") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Hayloo9838/uno-recognizer") model = AutoModel.from_pretrained("Hayloo9838/uno-recognizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Hayloo9838/uno-recognizer: direct link, hf CLI and curl.
- Browser
- Download file 1.21 GB
-
https://huggingface.co/Hayloo9838/uno-recognizer/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Hayloo9838/uno-recognizer/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Hayloo9838/uno-recognizer/resolve/main/pytorch_model.bin
1.21 GB
- Xet hash:
- cd564f54c10e79b467bf6cdcc801ae508bd899d97529e90bc815c4fa46600878
- Size of remote file:
- 1.21 GB
- SHA256:
- 75c94c036def27a576a72d6c86260b69002cc46c66992e1196628ea3fe3c7224
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