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:
- 7842d22b827ceaa59ba5e8edf793d7012ffdaea97d1adb8b2f720d4171347e12
- Size of remote file:
- 3.96 kB
- SHA256:
- 8924762bcb0b0be937da03bc6254f6f33585885549c84b07f1eb1ac6331ec3f4
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