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:
- ce8aed31aac9a69a531ba88772e9aaaf4fd9b45c08396df0f1dc36622a4ea11e
- Size of remote file:
- 839 kB
- SHA256:
- ac30688693603a690577985ba46853d5af2581cd10d11bba2e71bc12cc520765
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