Instructions to use ynie/roberta-large_conv_contradiction_detector_v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ynie/roberta-large_conv_contradiction_detector_v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ynie/roberta-large_conv_contradiction_detector_v0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ynie/roberta-large_conv_contradiction_detector_v0") model = AutoModelForSequenceClassification.from_pretrained("ynie/roberta-large_conv_contradiction_detector_v0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52213a808b1e33d8d0a40e3f0e49ce010d62edb18b72b2e108b01509fcf93e24
- Size of remote file:
- 1.42 GB
- SHA256:
- bba36e524e318727137f38f8ce56d5455e1ff96649470de47ef53ec659d875d6
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