Instructions to use JoaoJunior/T5_APR_java_python_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoaoJunior/T5_APR_java_python_v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JoaoJunior/T5_APR_java_python_v1") model = AutoModelForSeq2SeqLM.from_pretrained("JoaoJunior/T5_APR_java_python_v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba6b850ccfb5a6a6693aecde34c65e0dd9a51bc5e673e5dea361ae3be0e1c9e0
- Size of remote file:
- 242 MB
- SHA256:
- d14fe10af53ad835c74dd8422a004f1b8e89b7c27944326cd264731220974c45
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