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
File size: 129 Bytes
4845b9c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:98498687363a9e67d3d945942685e0ff1f43befa20a4ec5f62ad97f31e3e5d02
size 5048
|