Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use shrimpseu/t5summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shrimpseu/t5summarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("shrimpseu/t5summarization") model = AutoModelForSeq2SeqLM.from_pretrained("shrimpseu/t5summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 112 Bytes
fea7644 | 1 2 3 4 5 6 7 | {
"decoder_start_token_id": 0,
"eos_token_id": 1,
"pad_token_id": 0,
"transformers_version": "4.28.1"
}
|