Instructions to use Yuuu010v2/strvision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yuuu010v2/strvision with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Yuuu010v2/strvision") 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("Yuuu010v2/strvision") model = AutoModelForImageClassification.from_pretrained("Yuuu010v2/strvision", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Yuuu010v2/strvision: direct link, hf CLI and curl.
- Browser
- Download file 129 Bytes
-
https://huggingface.co/Yuuu010v2/strvision/resolve/main/training_args.bin
- Command line
-
hf download hf://Yuuu010v2/strvision/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Yuuu010v2/strvision/resolve/main/training_args.bin
129 Bytes
- Xet hash:
- 364e0c2dc635f4ab245aab35ca820b647c4f0802dab1524d35daee51a0baeddf
- Size of remote file:
- 129 Bytes
- SHA256:
- d2ee4a29eed51b7fb443f30ba31100973bab137ad686f6135561c716eef45e73
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