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:
- 3cc3aae90b1552c5a5e6959f14a4f6f159bf7d595d9d8b86d91cb4f4d5e3ca52
- Size of remote file:
- 247 MB
- SHA256:
- 12d5dedbfe110a74156952f0616d802f350cd81281cca5db99c874732404e267
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