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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JoaoJunior/T5_APR_java_python_v4") model = AutoModelForSeq2SeqLM.from_pretrained("JoaoJunior/T5_APR_java_python_v4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from JoaoJunior/T5_APR_java_python_v4: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/JoaoJunior/T5_APR_java_python_v4/resolve/main/training_args.bin
- Command line
-
hf download hf://JoaoJunior/T5_APR_java_python_v4/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/JoaoJunior/T5_APR_java_python_v4/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- ae24c6bd88afa1ec9ee380554e5888ca72f3b8655e3e03a61957a6f63b845f58
- Size of remote file:
- 4.73 kB
- SHA256:
- 08045703554a11249790e82a93076d50dc5ab2f60f7c2cd056d1eec4228dacf7
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