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 pytorch_model.bin from HuyTran1301/CodeT5p_with_Dual_Retrival: direct link, hf CLI and curl.
- Browser
- Download file 894 MB
-
https://huggingface.co/HuyTran1301/CodeT5p_with_Dual_Retrival/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://HuyTran1301/CodeT5p_with_Dual_Retrival/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/HuyTran1301/CodeT5p_with_Dual_Retrival/resolve/main/pytorch_model.bin
894 MB
- Xet hash:
- 669e689d3a3d87cc8c384749bb63685dbae4b54565b643537c2a2cfac8604993
- Size of remote file:
- 894 MB
- SHA256:
- cb731623c6d742443c067c3dcb2ef14424859456ff5db267fd022165deb9f834
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