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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05a2a4f2c5fca79bf82a937d52bca3b0c27f929488a05de1e2df166f6b07d928
- Size of remote file:
- 1.15 MB
- SHA256:
- 9d5ea6a5de6ad34f1af0b505d66a6360677ff24ec488016c7479fb93fc9207d1
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