Instructions to use JoaoJunior/T5_APR_java_python_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoaoJunior/T5_APR_java_python_v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JoaoJunior/T5_APR_java_python_v2") model = AutoModelForSeq2SeqLM.from_pretrained("JoaoJunior/T5_APR_java_python_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from JoaoJunior/T5_APR_java_python_v2: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/JoaoJunior/T5_APR_java_python_v2/resolve/main/model.safetensors
- Command line
-
hf download hf://JoaoJunior/T5_APR_java_python_v2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/JoaoJunior/T5_APR_java_python_v2/resolve/main/model.safetensors
242 MB
- Xet hash:
- 0828492bdeee6d3a29c234e1a8ab53835ca268923067ca1ec0b1d8d8ffc15da7
- Size of remote file:
- 242 MB
- SHA256:
- b8ed228b404bb641625f004a2e940fa06467354dbb140151ef98a92aa8498a66
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