Instructions to use ji-xin/roberta_large-MRPC-two_stage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ji-xin/roberta_large-MRPC-two_stage with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ji-xin/roberta_large-MRPC-two_stage")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("ji-xin/roberta_large-MRPC-two_stage", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07a0836731672922db1e5069e573936dff885d46de8e0e1ab244b4110f3f33a9
- Size of remote file:
- 1.43 kB
- SHA256:
- ca4639e79228bc2e5e8bf89763e659d117f78169167944d432a50a23ad6e7335
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