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 pytorch_model.bin from Pstman/Text_summarization: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/Pstman/Text_summarization/resolve/a59cdabb2b6a4f3abf4f62fc37af1dcb5cba28c8/pytorch_model.bin
- Command line
-
hf download hf://Pstman/Text_summarization@a59cdabb2b6a4f3abf4f62fc37af1dcb5cba28c8/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Pstman/Text_summarization/resolve/a59cdabb2b6a4f3abf4f62fc37af1dcb5cba28c8/pytorch_model.bin
1.63 GB
- Xet hash:
- 1d7fbef47e130ac8f2fdca21c1b5eced7405936ae2f1b8367b2ee0ec430c29f5
- Size of remote file:
- 1.63 GB
- SHA256:
- f87b85384dc87236d4ab48440edae8b9a828cb2ea56bef06b0f02f3f5da2b41a
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