Instructions to use sjiang1/codecse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sjiang1/codecse with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sjiang1/codecse")# Load model directly from transformers import GraphCodeBERTForCL model = GraphCodeBERTForCL.from_pretrained("sjiang1/codecse", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Add a more detailed version of the inference 50bab77
Update README.md be0ace7
Add GitHub repo for inference instructions 324fc41
Add the pretrained CodeCSE 8155d83
Siyuan Jiang commited on
The language should be multilingual c2b525d
Siyuan Jiang commited on
Replace the language "ruby" with "english" 68c856e
Siyuan Jiang commited on
Update the YAML content in README to pass 2753fcc
Siyuan Jiang commited on
Add a simple readme as a Model Card. 20da331
Siyuan Jiang commited on