Instructions to use BienKieu/codeT5Plus_si_sotitlep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BienKieu/codeT5Plus_si_sotitlep with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BienKieu/codeT5Plus_si_sotitlep") model = AutoModelForSeq2SeqLM.from_pretrained("BienKieu/codeT5Plus_si_sotitlep", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from BienKieu/codeT5Plus_si_sotitlep: direct link, hf CLI and curl.
- Browser
- Download file 2.29 MB
-
https://huggingface.co/BienKieu/codeT5Plus_si_sotitlep/resolve/af546cb7c836fa4bc0237ef8564ef5e6d7b3b9eb/tokenizer.json
- Command line
-
hf download hf://BienKieu/codeT5Plus_si_sotitlep@af546cb7c836fa4bc0237ef8564ef5e6d7b3b9eb/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/BienKieu/codeT5Plus_si_sotitlep/resolve/af546cb7c836fa4bc0237ef8564ef5e6d7b3b9eb/tokenizer.json
2.29 MB
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