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:
# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b67c2e0c2aac53ac2daa7c4b3c10f918c8874f90f9879a7a658b86137b77c6f2
- Size of remote file:
- 892 MB
- SHA256:
- d0ee23351ed76e3116ec2524c936ac660164b72f63150bd65a93dd498b27b63c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.