Instructions to use Pstman/Text_summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pstman/Text_summarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Pstman/Text_summarization") model = AutoModelForSeq2SeqLM.from_pretrained("Pstman/Text_summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Pstman/Text_summarization: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/Pstman/Text_summarization/resolve/a59cdabb2b6a4f3abf4f62fc37af1dcb5cba28c8/training_args.bin
- Command line
-
hf download hf://Pstman/Text_summarization@a59cdabb2b6a4f3abf4f62fc37af1dcb5cba28c8/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Pstman/Text_summarization/resolve/a59cdabb2b6a4f3abf4f62fc37af1dcb5cba28c8/training_args.bin
4.09 kB
- Xet hash:
- 20511535a958f670ebd0f981f26367198cf742293d6d538a25dc452d697f850a
- Size of remote file:
- 4.09 kB
- SHA256:
- 266ac72b015c012793a89d81ba9b8eed006756d4c37b2f06dd6c1cbc0b0353b5
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