Instructions to use lmeninato/bert-small-codesearchnet-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmeninato/bert-small-codesearchnet-python with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lmeninato/bert-small-codesearchnet-python") model = AutoModelForSeq2SeqLM.from_pretrained("lmeninato/bert-small-codesearchnet-python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 986885bbac3589add9d4a2e111c430e643975abe09301c409481c8316521f4c4
- Size of remote file:
- 247 MB
- SHA256:
- 3c7559fb03b6b20b70d638f4056851b7d3ea455aadae362570da44f35d11c723
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