Instructions to use NICFRU/bart-base-paraphrasing-science with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NICFRU/bart-base-paraphrasing-science with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NICFRU/bart-base-paraphrasing-science") model = AutoModelForSeq2SeqLM.from_pretrained("NICFRU/bart-base-paraphrasing-science", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from NICFRU/bart-base-paraphrasing-science: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/NICFRU/bart-base-paraphrasing-science/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://NICFRU/bart-base-paraphrasing-science/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/NICFRU/bart-base-paraphrasing-science/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- 14796d1e58ac35d82677ce8f01778ddbd54cb81dceff606b28eb980d3854142b
- Size of remote file:
- 558 MB
- SHA256:
- 6b6546b64f1b5adcc4cf9826924d85618a783f806634b28ee8fb19695bc7037a
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