Instructions to use PSW/samsumDialogsumReverseTrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PSW/samsumDialogsumReverseTrain with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("PSW/samsumDialogsumReverseTrain") model = AutoModelForSeq2SeqLM.from_pretrained("PSW/samsumDialogsumReverseTrain", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from PSW/samsumDialogsumReverseTrain: direct link, hf CLI and curl.
- Browser
- Download file 1.07 GB
-
https://huggingface.co/PSW/samsumDialogsumReverseTrain/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://PSW/samsumDialogsumReverseTrain/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PSW/samsumDialogsumReverseTrain/resolve/main/pytorch_model.bin
1.07 GB
- Xet hash:
- f2e886aaf78548f1b3879db1dc430ad0cc99d5c6a0c429ded627032e32a1d804
- Size of remote file:
- 1.07 GB
- SHA256:
- bea5cb4e6be24cf6b36bb9bffa9020ded4dad13c3ab435dfdcd4c77cbaee7a76
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