Instructions to use lmeninato/t5-small-codesearchnet-python-archive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmeninato/t5-small-codesearchnet-python-archive with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lmeninato/t5-small-codesearchnet-python-archive") model = AutoModelForSeq2SeqLM.from_pretrained("lmeninato/t5-small-codesearchnet-python-archive", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99f4721e33c35772cb30c9ac2360146bb7324b6a5a1b1f17d59cfb7d22306b05
- Size of remote file:
- 242 MB
- SHA256:
- 0d56fe27783ddfbec93b40e874e5710200766c06db63268fa648e75516f88297
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