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:
- 6f5486ad241b6e39cdf6b2c6980d7d8c266e0695fdf42ab4ec38902a4aed12c4
- Size of remote file:
- 1.15 MB
- SHA256:
- 05bcdfd3017fa4b8a17cfacac393946d80eeb32e7835583f88bd88157961c44d
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