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:
- d87a3e5590ef078f921893b87fcfe78ae79b95565449f21b9f64cb80fd442818
- Size of remote file:
- 242 MB
- SHA256:
- 90f50f29c6fc65d05ced134b406d6fdd00d29228ecfeee1e4084ef788337f0df
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