Instructions to use el-profesor/code_t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use el-profesor/code_t5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("el-profesor/code_t5") model = AutoModelForSeq2SeqLM.from_pretrained("el-profesor/code_t5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78f4542b5b01f4f78458def8621e09f64fe12ab683da7009edab4431bba114ad
- Size of remote file:
- 892 MB
- SHA256:
- ef630e5b2ceac1d6eb475357bfe28ee08be712e82dabbd4c486f84df8881a1b2
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