Instructions to use nateraw/tiny-vit-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nateraw/tiny-vit-random with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="nateraw/tiny-vit-random")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("nateraw/tiny-vit-random") model = AutoModel.from_pretrained("nateraw/tiny-vit-random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nateraw/tiny-vit-random: direct link, hf CLI and curl.
- Browser
- Download file 1.77 MB
-
https://huggingface.co/nateraw/tiny-vit-random/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://nateraw/tiny-vit-random@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nateraw/tiny-vit-random/resolve/refs%2Fpr%2F1/pytorch_model.bin
1.77 MB
- Xet hash:
- f6f88af03e672d6b4195d9c21a343feb636c4786987ecac3fa9ff528b8aac816
- Size of remote file:
- 1.77 MB
- SHA256:
- 4878fbf1ffee0dc8bb43d777b9b60e63655da8154adccc8cbc99cd3279c649d8
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