Instructions to use ShengdingHu/mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShengdingHu/mrpc with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ShengdingHu/mrpc") model = AutoModelForSeq2SeqLM.from_pretrained("ShengdingHu/mrpc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 907b6627631f91e550ade25c9601ee3d81cd3cb5b5c2f437c12da22caee812c4
- Size of remote file:
- 7.55 MB
- SHA256:
- 01462441e7585f7736fcb1687cb23c736a5f6bacac30c14506e7717c31ac446e
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