Instructions to use SyedShaheer/pegasus-xsum_tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SyedShaheer/pegasus-xsum_tuned with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SyedShaheer/pegasus-xsum_tuned") model = AutoModelForSeq2SeqLM.from_pretrained("SyedShaheer/pegasus-xsum_tuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SyedShaheer/pegasus-xsum_tuned: direct link, hf CLI and curl.
- Browser
- Download file 4.15 kB
-
https://huggingface.co/SyedShaheer/pegasus-xsum_tuned/resolve/main/training_args.bin
- Command line
-
hf download hf://SyedShaheer/pegasus-xsum_tuned/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SyedShaheer/pegasus-xsum_tuned/resolve/main/training_args.bin
4.15 kB
- Xet hash:
- bc0a4bd599b358ae6f82dbb7d2cbe14d8cde3dbde57657a53c86624501836b47
- Size of remote file:
- 4.15 kB
- SHA256:
- fbe07bed7964f1f641afd0471bf8966fc8cc3b274f21941c5d2bc58160fd0b82
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