Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use lmeninato/t5-small-codesearchnet-python3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmeninato/t5-small-codesearchnet-python3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lmeninato/t5-small-codesearchnet-python3") model = AutoModelForSeq2SeqLM.from_pretrained("lmeninato/t5-small-codesearchnet-python3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a747fd04dd61104e9aa7d628855fbb7afa7bf97be971a5081c5aa89e63729809
- Size of remote file:
- 839 kB
- SHA256:
- 70321f10a17ddcd285121a15f544272d4aeef6ce2b0c2665e9ae995dfad03579
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