Instructions to use BienKieu/codeT5Plus_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BienKieu/codeT5Plus_new with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BienKieu/codeT5Plus_new") model = AutoModelForSeq2SeqLM.from_pretrained("BienKieu/codeT5Plus_new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c70677e2a7db8a050ef05c80c0999be0d070d85655f4c5447cf395a934c40bd
- Size of remote file:
- 892 MB
- SHA256:
- 6156200a86eabf12691fdf9633f519b5850661320c213924204d5d13da854ad0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.