Instructions to use JoaoJunior/T5_APR_java_python_v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoaoJunior/T5_APR_java_python_v4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("JoaoJunior/T5_APR_java_python_v4") model = AutoModelForMultimodalLM.from_pretrained("JoaoJunior/T5_APR_java_python_v4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae24c6bd88afa1ec9ee380554e5888ca72f3b8655e3e03a61957a6f63b845f58
- Size of remote file:
- 4.73 kB
- SHA256:
- 08045703554a11249790e82a93076d50dc5ab2f60f7c2cd056d1eec4228dacf7
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