Instructions to use JoaoJunior/T5_APR_java_python_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoaoJunior/T5_APR_java_python_v3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JoaoJunior/T5_APR_java_python_v3") model = AutoModelForSeq2SeqLM.from_pretrained("JoaoJunior/T5_APR_java_python_v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from JoaoJunior/T5_APR_java_python_v3: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/JoaoJunior/T5_APR_java_python_v3/resolve/main/training_args.bin
- Command line
-
hf download hf://JoaoJunior/T5_APR_java_python_v3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/JoaoJunior/T5_APR_java_python_v3/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- e249ffd2d5aecbf104c8559d9ce3fe41371ba2948d20a38710c75c13919dc8c9
- Size of remote file:
- 4.73 kB
- SHA256:
- 4ebfe311451c7e82d48758c2bcf5f9c1c911366032e4381c3721f3bed1da791c
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