Instructions to use BienKieu/codeT5Plus_Contrastive_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BienKieu/codeT5Plus_Contrastive_new with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BienKieu/codeT5Plus_Contrastive_new") model = AutoModelForSeq2SeqLM.from_pretrained("BienKieu/codeT5Plus_Contrastive_new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18cfa040f2059a4f05440bcd24229562d4a27bce4890d897eadf39f8fa9ff878
- Size of remote file:
- 892 MB
- SHA256:
- 2e054cce318e72aa901ca55a8c03a5c3f08d60426430728155d59e529a224fb3
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