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:
- d283e0eb9290a993415de1de32e283f95eaa018ac7149dbd202e2db67863e7c1
- Size of remote file:
- 247 MB
- SHA256:
- 089b462ca9e5c30fa8b1b6ae30292f3e034161d5ae067b3f6e3e77cb9c6beba8
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