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:
- 9e768757ef2387bb0857c69104ae5bf0b2a6664fe26006a0fbf9cb2a8ff54cc9
- Size of remote file:
- 881 Bytes
- SHA256:
- ea067208b5f52839b660dee1a8f5ddf147934b7e47d669cb06eaea623a79d298
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