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 pytorch_model.bin from shrimpseu/t5summarization: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/shrimpseu/t5summarization/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://shrimpseu/t5summarization/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/shrimpseu/t5summarization/resolve/main/pytorch_model.bin
242 MB
- Xet hash:
- 49570d0b81c6e4273e418b6df6a71f47b74e185874900f6dfc97f3215127a40c
- Size of remote file:
- 242 MB
- SHA256:
- 79a6bdae845aab4e49b9a4f103c6e67c7eb0dea5c5a8289cf3b76c67b54afee9
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