Instructions to use kevinlu1248/ct-base-commits-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kevinlu1248/ct-base-commits-onnx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="kevinlu1248/ct-base-commits-onnx")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kevinlu1248/ct-base-commits-onnx") model = AutoModel.from_pretrained("kevinlu1248/ct-base-commits-onnx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9291bdcf8db8769a9216a02387945927dfbbe7155978eee9fee52cf4d4d5f149
- Size of remote file:
- 651 MB
- SHA256:
- 10e6ddddbdafd9d26aee904f8edb0530fbb5f166192aa9d3cb07533ca5ad1e1c
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