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:
- 9298d066f4571058c33d3270604fcdb718fd1dc70352453979f1aa43000251c2
- Size of remote file:
- 448 MB
- SHA256:
- ea4e9db6603d9237f15556c79dfa8010d5ebd5e09900be89ee5f8be19ebd96c7
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