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:
- 15746875d8f379f6a2c1c3e9798a20d1c0561468ca48312c3a0a3793823d5e17
- Size of remote file:
- 1.15 MB
- SHA256:
- 6ed4e4c11ece6f0138eaffa1d6762ab695478ec3d1f8e2d44c7848212eba7e63
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