Instructions to use zxcej/AICE_model_binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zxcej/AICE_model_binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="zxcej/AICE_model_binary") 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("zxcej/AICE_model_binary") model = AutoModelForImageClassification.from_pretrained("zxcej/AICE_model_binary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from zxcej/AICE_model_binary: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/zxcej/AICE_model_binary/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://zxcej/AICE_model_binary@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/zxcej/AICE_model_binary/resolve/refs%2Fpr%2F1/pytorch_model.bin
343 MB
- Xet hash:
- 4a12fcc09fe31d91a6ff3f97513c56686aa3ff478f837215c94ae15eef6ff64e
- Size of remote file:
- 343 MB
- SHA256:
- 2c469dcab02642865a7580939395056e34abe0bedc6b647025339d86f5455797
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