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:
- 1de50a2730993c427d17f62e5e1eff7f861b5e300907d34a2c7620911b0867dc
- Size of remote file:
- 839 kB
- SHA256:
- dbbd51950a1c5b1c25860df9ad3b858e94b70bb9fd9bb37731dda207d5380fe2
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