Instructions to use JoaoJunior/codet5-small-code-summarization-ruby-personal-learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoaoJunior/codet5-small-code-summarization-ruby-personal-learning with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JoaoJunior/codet5-small-code-summarization-ruby-personal-learning") model = AutoModelForSeq2SeqLM.from_pretrained("JoaoJunior/codet5-small-code-summarization-ruby-personal-learning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
This model if equal to the model created by nielsr. The objective is just for me to study and test the notebook he used.
Model link: https://huggingface.co/nielsr/codet5-small-code-summarization-ruby