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:
- ba59f183f4ae7e44c4d44bc41ffb82878def319b90ee28bee5f6655ef6067333
- Size of remote file:
- 3.18 kB
- SHA256:
- 131be287b992cce8aa641373128179469bd2f96cf2d311ace3ba167fd100d6d1
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