Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use lmeninato/t5-small-codesearchnet-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmeninato/t5-small-codesearchnet-python with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lmeninato/t5-small-codesearchnet-python") model = AutoModelForSeq2SeqLM.from_pretrained("lmeninato/t5-small-codesearchnet-python", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea8ef175b0472af0db7d394af5bfad8a9068c913c7823b95db9aa191aca19bc7
- Size of remote file:
- 839 kB
- SHA256:
- a42a6f417e37daea150dc14e468e963c26118ea6b1cac7d03073beafdaebb830
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