Instructions to use fasterinnerlooper/codeT5p-220m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fasterinnerlooper/codeT5p-220m with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("fasterinnerlooper/codeT5p-220m") model = AutoModelForSeq2SeqLM.from_pretrained("fasterinnerlooper/codeT5p-220m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d96da59410e47ae74dd850a7020ec5d34f70fc729d4e7987628ccd53f780be20
- Size of remote file:
- 5.05 kB
- SHA256:
- 98498687363a9e67d3d945942685e0ff1f43befa20a4ec5f62ad97f31e3e5d02
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