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:
- 68fafab8932ba9fbf5c1416b89c7510bfb620efbf042edd735427cc93d251126
- Size of remote file:
- 839 kB
- SHA256:
- 4bd4e6d801edf8bdb11f50ffd208e5d264754dde0faa33a11253a19ea7ffd00e
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