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/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://Pstman/Text_summarization@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Pstman/Text_summarization/resolve/refs%2Fpr%2F1/pytorch_model.bin
1.63 GB
- Xet hash:
- 5c631cae68faaede384db8085519d065fc929c4a67e64d8b69b650bc4319e110
- Size of remote file:
- 1.63 GB
- SHA256:
- 7d8399957b2220bdccda12d87519e465e604c39f4bd6d65d6effc356ba1a3bd0
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