Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use scottn66/text-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scottn66/text-summarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("scottn66/text-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("scottn66/text-summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from scottn66/text-summarization: direct link, hf CLI and curl.
- Browser
- Download file 3.71 kB
-
https://huggingface.co/scottn66/text-summarization/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://scottn66/text-summarization@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/scottn66/text-summarization/resolve/refs%2Fpr%2F1/training_args.bin
3.71 kB
- Xet hash:
- d43e6a7da8d119f27fa55f2769da73091db0adac8f4a9583b66770c5746ead9b
- Size of remote file:
- 3.71 kB
- SHA256:
- a2c0a55251accdca8df4d65d69beb2956b2f895514aa5387ac88b3e9a8fce2d3
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