Transformers
PyTorch
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use HuyTran1301/CodeT5p_with_Dual_Retrival with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuyTran1301/CodeT5p_with_Dual_Retrival with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("HuyTran1301/CodeT5p_with_Dual_Retrival") model = AutoModelForSeq2SeqLM.from_pretrained("HuyTran1301/CodeT5p_with_Dual_Retrival", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from HuyTran1301/CodeT5p_with_Dual_Retrival: direct link, hf CLI and curl.
- Browser
- Download file 5.69 kB
-
https://huggingface.co/HuyTran1301/CodeT5p_with_Dual_Retrival/resolve/main/training_args.bin
- Command line
-
hf download hf://HuyTran1301/CodeT5p_with_Dual_Retrival/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/HuyTran1301/CodeT5p_with_Dual_Retrival/resolve/main/training_args.bin
5.69 kB
- Xet hash:
- 8c5f66e5dbe0a487a5bab8c8e69820e6b75386e48192726ef9bd65343649db6c
- Size of remote file:
- 5.69 kB
- SHA256:
- 6c783a05f9a1f4a45910d40a63df3e1f0f700e9c2495615ba7fcff60f4b62647
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