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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9fb6cb5481683683636c8fc929ad3daec29ab7dd4876266be1892b4fe2c633e7
- Size of remote file:
- 504 MB
- SHA256:
- bd188e2829563f192f890f7a65f6b5bd151547ae78c8ddeeff4509b045c62841
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