Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use ThirdEyeData/Text_Summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThirdEyeData/Text_Summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ThirdEyeData/Text_Summarization") model = AutoModelForSeq2SeqLM.from_pretrained("ThirdEyeData/Text_Summarization") - Notebooks
- Google Colab
- Kaggle
File size: 112 Bytes
0acb875 | 1 2 3 4 5 6 7 | {
"decoder_start_token_id": 0,
"eos_token_id": 1,
"pad_token_id": 0,
"transformers_version": "4.29.2"
}
|