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:
- 1c793b4127f3b3b0e0a8ed5a9e48b1dd5ac04d90a670207aecf5d99ef599303f
- Size of remote file:
- 892 MB
- SHA256:
- 8dfabff27474d61759abbb75d0f435d8230f38410f6bb4628d11dc376b14967f
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