Instructions to use Enoch/Unixcoder-Tuned-Code-Search-Py with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Enoch/Unixcoder-Tuned-Code-Search-Py with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Enoch/Unixcoder-Tuned-Code-Search-Py")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Enoch/Unixcoder-Tuned-Code-Search-Py") model = AutoModel.from_pretrained("Enoch/Unixcoder-Tuned-Code-Search-Py", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3326aea44fc15e5f38a303231d8604151d666c08dafaee054d8725b6d99ff49
- Size of remote file:
- 504 MB
- SHA256:
- 0f2b8df2222695ca432dca86392323cff002264145c04201f0f693d5d498bfd1
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