Instructions to use addy88/code-t5-ruby with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use addy88/code-t5-ruby with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("addy88/code-t5-ruby") model = AutoModelForSeq2SeqLM.from_pretrained("addy88/code-t5-ruby") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72d1f253315385c439ca4ea0c016cab1086e435f193429f1c893a36959f7584f
- Size of remote file:
- 242 MB
- SHA256:
- 09e83148199be0f1294eef0bbdea4ecb574e8728aaa1b7c0ce7df2929ad9938a
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