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:
- 8f683ff4ec363837c0f368c3272e5cf89f59d9a30434fa497102fd1b6e829aea
- Size of remote file:
- 247 MB
- SHA256:
- 6add994a47482e8c7e3421e149cca1b0810fa08c8433a6980d94b84444ea7c02
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