Instructions to use HuyTran1301/codeT5-phase2-v2-ep2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuyTran1301/codeT5-phase2-v2-ep2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("HuyTran1301/codeT5-phase2-v2-ep2") model = AutoModelForSeq2SeqLM.from_pretrained("HuyTran1301/codeT5-phase2-v2-ep2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from HuyTran1301/codeT5-phase2-v2-ep2: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/HuyTran1301/codeT5-phase2-v2-ep2/resolve/main/training_args.bin
- Command line
-
hf download hf://HuyTran1301/codeT5-phase2-v2-ep2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/HuyTran1301/codeT5-phase2-v2-ep2/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 976664bc41fc5bd151d9afa0fe2636a3f0d0d7f039274214caa1eb262d190b57
- Size of remote file:
- 5.43 kB
- SHA256:
- 4b5f8741ccc7da99afb281f3541620ec889777c40e628a983e01bddd99fb718a
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