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:
- bb2ff1e8720b67a1f6267694ff2de4478c0adf93a5cc9a7b411f3f10e6292054
- Size of remote file:
- 892 MB
- SHA256:
- d430d0f1f55d0545de24fb8d9ce7199043462f71f0c21a78444ab506dc7aa9d6
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