Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use wjudy/text-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wjudy/text-summarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("wjudy/text-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("wjudy/text-summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from wjudy/text-summarization: direct link, hf CLI and curl.
- Browser
- Download file 3.71 kB
-
https://huggingface.co/wjudy/text-summarization/resolve/main/training_args.bin
- Command line
-
hf download hf://wjudy/text-summarization/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/wjudy/text-summarization/resolve/main/training_args.bin
3.71 kB
- Xet hash:
- 9cef9d1fe63ae25d1b98dab862a2796fe2b0d77903c454a51e0936270d0aab9a
- Size of remote file:
- 3.71 kB
- SHA256:
- 6dc8960a3f0bd748b6137f6dcb709a49d10dc073128e63cd2c949b89b7b0895a
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