Instructions to use thinkingface/test-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thinkingface/test-onnx with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("thinkingface/test-onnx") model = AutoModel.from_pretrained("thinkingface/test-onnx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.onnx from thinkingface/test-onnx: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/thinkingface/test-onnx/resolve/main/model.onnx
- Command line
-
hf download hf://thinkingface/test-onnx/model.onnx
-
curl -L -o model.onnx https://huggingface.co/thinkingface/test-onnx/resolve/main/model.onnx
436 MB
- Xet hash:
- 176e3a4ceeea3974c45ea165eca7d5e2fb942a0524020d43bcdd586cd660a7e5
- Size of remote file:
- 436 MB
- SHA256:
- f7eb5f7e75e207816e66c2191b00959888dbdd811ef8c1b369c770f9879f91fc
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