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:
# 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
Download tokenizer.json from shrimpseu/t5summarization: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/shrimpseu/t5summarization/resolve/main/tokenizer.json
- Command line
-
hf download hf://shrimpseu/t5summarization/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/shrimpseu/t5summarization/resolve/main/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.