Instructions to use ji-xin/roberta_base-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_base-MRPC-two_stage with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ji-xin/roberta_base-MRPC-two_stage")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ji-xin/roberta_base-MRPC-two_stage") model = AutoModelForSequenceClassification.from_pretrained("ji-xin/roberta_base-MRPC-two_stage", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ab17fad8dad2bee2dac169deb818bbd8199f82d221d9e84b24df44b8f035e1c
- Size of remote file:
- 1.44 kB
- SHA256:
- fd71c1ab6efbe634cd645f68a40403247b79384e768521eaee4cf57108cc46c4
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