Instructions to use HuyTran1301/codeT5-phase1-ep2-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuyTran1301/codeT5-phase1-ep2-v3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("HuyTran1301/codeT5-phase1-ep2-v3") model = AutoModelForSeq2SeqLM.from_pretrained("HuyTran1301/codeT5-phase1-ep2-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from HuyTran1301/codeT5-phase1-ep2-v3: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/HuyTran1301/codeT5-phase1-ep2-v3/resolve/main/training_args.bin
- Command line
-
hf download hf://HuyTran1301/codeT5-phase1-ep2-v3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/HuyTran1301/codeT5-phase1-ep2-v3/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- f5a116840e7de1356ab9cee5312127fce76a483b6acac16e28a6a751aff62503
- Size of remote file:
- 5.43 kB
- SHA256:
- 553b1fec2816b54efcc5b84709c18cc7e3770864aa02de426386e509281bba0f
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