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") - Notebooks
- Google Colab
- Kaggle
Code Trans Commit Message Generation + ONNX
ONNX Runtime optimizater ran on https://huggingface.co/SEBIS/code_trans_t5_base_commit_generation_transfer_learning_finetune. The fine-tune does well, the multi-task doesn't, small makes mistakes and large is 3Gb, so I settled on this one.
The intention is to run a local LLM to generate commit messages so OpenAI doesn't just get your IP for free.
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