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:
- 776acb1af69af772878c2af8861f611962b15b1738c65fd915635aa5d6825c98
- Size of remote file:
- 247 MB
- SHA256:
- 27fb4935dde282af80b68d7a534c687d2a1529e4cda5cf4ac1712dfca2336157
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