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%2F2/training_args.bin
- Command line
-
hf download hf://scottn66/text-summarization@refs/pr/2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/scottn66/text-summarization/resolve/refs%2Fpr%2F2/training_args.bin
3.71 kB
- Xet hash:
- 6161871f264706cb8ebe9822e862239e18565d431fbc35d0e981cad52e77a957
- Size of remote file:
- 3.71 kB
- SHA256:
- a1a1ff74d4b9e5e87b604ec77786a1560df42a0c64c49cc1a47b1a8cc61cbb29
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