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:
- 237f29f47ef6d59103cbe044107fd18e3585431173a594294b50e1cec8335a8a
- Size of remote file:
- 881 Bytes
- SHA256:
- 5b9c5b5f2fbe51c8f875845c622db64eabfff10d3f666d9817dd93e2d558229a
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