Instructions to use PSW/samsum_reverse_train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PSW/samsum_reverse_train with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("PSW/samsum_reverse_train") model = AutoModelForSeq2SeqLM.from_pretrained("PSW/samsum_reverse_train", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from PSW/samsum_reverse_train: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/PSW/samsum_reverse_train/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://PSW/samsum_reverse_train/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PSW/samsum_reverse_train/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- 2f1eefb0efa45264979d61260bee8214b2a588bef268b1d5715b4d3400f1ac6d
- Size of remote file:
- 558 MB
- SHA256:
- 7d4fe9606c63262a43141fc6dae427e90b4190a58775182c96caa3901180dfad
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