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
Download training_args.bin from shrimpseu/t5summarization: direct link, hf CLI and curl.
- Browser
- Download file 3.77 kB
-
https://huggingface.co/shrimpseu/t5summarization/resolve/main/training_args.bin
- Command line
-
hf download hf://shrimpseu/t5summarization/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/shrimpseu/t5summarization/resolve/main/training_args.bin
3.77 kB
- Xet hash:
- 6c9e5f68cf948e6eb7c13398e091e810377ade5e042e2cbff458ce83667dc43b
- Size of remote file:
- 3.77 kB
- SHA256:
- cc15c9029d4ea66411a141444ab800e26f5ebbacadc19c99369a7439dfd16c21
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