Instructions to use Rivenatte/summarize_ruby_codet5_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rivenatte/summarize_ruby_codet5_base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Rivenatte/summarize_ruby_codet5_base") model = AutoModelForSeq2SeqLM.from_pretrained("Rivenatte/summarize_ruby_codet5_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6634570829228295524d53c9dc8e021886bc9dc0f3b993c615bc5930952836c0
- Size of remote file:
- 892 MB
- SHA256:
- bad8ebb54d6dcc3b537ed4d58ed75eef3212565b209e217cc31b9c75af03fb86
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