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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- adcf97ae9b771662fa2a942e4c70f9b2d73efdc862b288ad75a2425418949d01
- Size of remote file:
- 892 MB
- SHA256:
- be9d15935068c9e1c1bbf639b8d926fa3ddc169e21c701f0f232d1211007a9ef
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