Instructions to use BienKieu/codeT5base_sotitlep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BienKieu/codeT5base_sotitlep with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BienKieu/codeT5base_sotitlep") model = AutoModelForSeq2SeqLM.from_pretrained("BienKieu/codeT5base_sotitlep", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BienKieu/codeT5base_sotitlep: direct link, hf CLI and curl.
- Browser
- Download file 5.97 kB
-
https://huggingface.co/BienKieu/codeT5base_sotitlep/resolve/main/training_args.bin
- Command line
-
hf download hf://BienKieu/codeT5base_sotitlep/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BienKieu/codeT5base_sotitlep/resolve/main/training_args.bin
5.97 kB
- Xet hash:
- 04fec7185f31fa211216c6e7359aaf0bf8782e3faa5fc073ce3caebe6b0d7c76
- Size of remote file:
- 5.97 kB
- SHA256:
- d8bd4ce22c86630f47bb0dfb736163a51fac8912ffa446c4938a42f1c2c82e93
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