Instructions to use wanyu/IteraTeR-BART-Revision-Generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wanyu/IteraTeR-BART-Revision-Generator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("wanyu/IteraTeR-BART-Revision-Generator") model = AutoModelForSeq2SeqLM.from_pretrained("wanyu/IteraTeR-BART-Revision-Generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5a9d7f35a1dac01e52d610c21acdc4401101723b17140f4010f701cfeba7db3
- Size of remote file:
- 1.63 GB
- SHA256:
- ea1e8888b4e9026304aa7c66cb550ca1662ca6c4cdcb484e32aa6c884e292e85
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