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 model.safetensors from BienKieu/codeT5Plus_new: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/BienKieu/codeT5Plus_new/resolve/main/model.safetensors
- Command line
-
hf download hf://BienKieu/codeT5Plus_new/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/BienKieu/codeT5Plus_new/resolve/main/model.safetensors
892 MB
- Xet hash:
- 07f32ce38b3424cd9591d5109d7d66399a1980985fbd21773f731425931e5268
- Size of remote file:
- 892 MB
- SHA256:
- 777adfd73e0b2fd23997f03fe5b412ef94bbbc774992808fa78148f8d6007356
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.