Instructions to use andrewqian123/Vision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andrewqian123/Vision with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="andrewqian123/Vision", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("andrewqian123/Vision", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from andrewqian123/Vision: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/andrewqian123/Vision/resolve/main/tokenizer.json
- Command line
-
hf download hf://andrewqian123/Vision/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/andrewqian123/Vision/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 27e565a1b089fb3d0acc2c7340ef9f0b5017f98956406b08d3330cef0aed7e21
- Size of remote file:
- 11.4 MB
- SHA256:
- 9de76ce95f90e336b4d2b0ec11d37f3d5404f2dad0f7ac95298405474b2a3a90
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