Instructions to use BienKieu/codeT5Plus_sotitlep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BienKieu/codeT5Plus_sotitlep with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BienKieu/codeT5Plus_sotitlep") model = AutoModelForSeq2SeqLM.from_pretrained("BienKieu/codeT5Plus_sotitlep", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BienKieu/codeT5Plus_sotitlep: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/BienKieu/codeT5Plus_sotitlep/resolve/main/training_args.bin
- Command line
-
hf download hf://BienKieu/codeT5Plus_sotitlep/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BienKieu/codeT5Plus_sotitlep/resolve/main/training_args.bin
5.91 kB
- Xet hash:
- 4a76477000ac5cea78180849794f7ebeb663e2b3e9307ac4d4a94906e7188c0c
- Size of remote file:
- 5.91 kB
- SHA256:
- 03f15a67a2dcb1ef8ff686a8a3429dd24627350ea3ce273ba03ddbd5b9a2e1fb
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