Instructions to use HuyTran1301/CodeT5-CodeT5-phase2-wKeyPhrases with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuyTran1301/CodeT5-CodeT5-phase2-wKeyPhrases with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("HuyTran1301/CodeT5-CodeT5-phase2-wKeyPhrases") model = AutoModelForSeq2SeqLM.from_pretrained("HuyTran1301/CodeT5-CodeT5-phase2-wKeyPhrases", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from HuyTran1301/CodeT5-CodeT5-phase2-wKeyPhrases: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/HuyTran1301/CodeT5-CodeT5-phase2-wKeyPhrases/resolve/main/training_args.bin
- Command line
-
hf download hf://HuyTran1301/CodeT5-CodeT5-phase2-wKeyPhrases/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/HuyTran1301/CodeT5-CodeT5-phase2-wKeyPhrases/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- a7fed95804f73dfdee904e3506f66e45f90b89cfc7ed6bee18ba6da01b7cc2f4
- Size of remote file:
- 5.5 kB
- SHA256:
- 2647fb5b8b3f3d695db957d34a539a4812da98098fa82df53b708a7dbc919f3f
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