Instructions to use ShengdingHu/rte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShengdingHu/rte with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ShengdingHu/rte") model = AutoModelForSeq2SeqLM.from_pretrained("ShengdingHu/rte", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d963c9993002228aa07b34f4ee5b683526f245d85cf7cb9fadd70c58c1ac5956
- Size of remote file:
- 2.63 MB
- SHA256:
- 74d6fd8a7b6b30d5df211aaad062dc0fee26085aa621d7107562106b7c6083f7
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