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:
# 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 model.safetensors from JoaoJunior/T5_APR_java_python_v3: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/JoaoJunior/T5_APR_java_python_v3/resolve/main/model.safetensors
- Command line
-
hf download hf://JoaoJunior/T5_APR_java_python_v3/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/JoaoJunior/T5_APR_java_python_v3/resolve/main/model.safetensors
242 MB
- Xet hash:
- 266924b7e5bfafbad15f895578054ce6d743947a7c060f2922b56998a8253978
- Size of remote file:
- 242 MB
- SHA256:
- 319e99a1037c2c82bf901271b6654f842f1dc31579a69ef2ca718db7abf0458a
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