Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use lmeninato/t5-small-codesearchnet-multilang-python-java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmeninato/t5-small-codesearchnet-multilang-python-java with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lmeninato/t5-small-codesearchnet-multilang-python-java") model = AutoModelForSeq2SeqLM.from_pretrained("lmeninato/t5-small-codesearchnet-multilang-python-java", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d250ac317a9f157f5088ec0e27aae2bfe6cd8cb9c96bdc8560ecd96080ae864e
- Size of remote file:
- 242 MB
- SHA256:
- 9741168d416ae2d87e7c9afa4ec50569e0aacaa74aa7590705438a2e5da2ba7f
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