Instructions to use HuyTran1301/CodeT5p-ModelPhase2-01072025 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuyTran1301/CodeT5p-ModelPhase2-01072025 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("HuyTran1301/CodeT5p-ModelPhase2-01072025") model = AutoModelForSeq2SeqLM.from_pretrained("HuyTran1301/CodeT5p-ModelPhase2-01072025", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from HuyTran1301/CodeT5p-ModelPhase2-01072025: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/HuyTran1301/CodeT5p-ModelPhase2-01072025/resolve/main/training_args.bin
- Command line
-
hf download hf://HuyTran1301/CodeT5p-ModelPhase2-01072025/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/HuyTran1301/CodeT5p-ModelPhase2-01072025/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 34758b37c463c96c49580a8d9450050c7455c34cc250cc8bbab9e00f98ad913e
- Size of remote file:
- 5.5 kB
- SHA256:
- 48b253e51e6cb6c3d7027a82e08f004b7c763ba81807861b5b68e385c4be09f5
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