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:
# pip install -U transformers accelerate # 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
Download training_args.bin from BienKieu/codeT5Plus_new: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/BienKieu/codeT5Plus_new/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://BienKieu/codeT5Plus_new@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BienKieu/codeT5Plus_new/resolve/refs%2Fpr%2F1/training_args.bin
5.91 kB
- Xet hash:
- df874120a08a97fd92f7a183f2bfe3f829f2512c31d2ebe9773b63492478f9ef
- Size of remote file:
- 5.91 kB
- SHA256:
- 5cf1ad3ef91c3e4f3adf0195b50167dcb02f35761faae84f4dcdaa72e5ecf4ef
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