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:
- 3ba033c641c36e695724a6b1b4a62de97f5c70c3e395471eaba36c4d57b92366
- Size of remote file:
- 247 MB
- SHA256:
- 63f9df95c2bcf40e414ebe0e5f51d3cd06a1a0e6692d21b3f7d1ba1949eb2b70
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