Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use TGiang/finetuning_t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TGiang/finetuning_t5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("TGiang/finetuning_t5") model = AutoModelForSeq2SeqLM.from_pretrained("TGiang/finetuning_t5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69e93609adb5552036cc44e16a408a4519def5ddb79ea81193621c3949836fc4
- Size of remote file:
- 3.9 kB
- SHA256:
- c4038f7aa04941305d8ec2ac2933085030f44518d1a4c9dc3be1a30a0e313f8d
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