Transformers
Safetensors
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use ayeshgk/codet5-small-java-v1-text-to-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayeshgk/codet5-small-java-v1-text-to-code with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ayeshgk/codet5-small-java-v1-text-to-code") model = AutoModelForSeq2SeqLM.from_pretrained("ayeshgk/codet5-small-java-v1-text-to-code") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a0308bd3e1fd836626e2a552d42e04f960b4725ac5fa67a1eebedf4ea9b4e6a
- Size of remote file:
- 242 MB
- SHA256:
- d55d4ab69a2cff35516ed66c3af2dd4472558454e62d3cf3fe932c81bd3dcd86
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