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
Commit History
-
End of training
Verified signaturee01496f
-
End of training
Verified signature4500d51 -
initial commit
Verified signature2d6e939