Instructions to use George-Ogden/roberta-base-cased-finetuned-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use George-Ogden/roberta-base-cased-finetuned-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="George-Ogden/roberta-base-cased-finetuned-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("George-Ogden/roberta-base-cased-finetuned-mnli") model = AutoModelForSequenceClassification.from_pretrained("George-Ogden/roberta-base-cased-finetuned-mnli") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6ba68c23b7efc35e0f68338b1f3c463d8ef4bb2ec6ed475a8156999e1a4a9c7
- Size of remote file:
- 499 MB
- SHA256:
- 73f0f55a260b73e8e7dc7d24125d2e30fedc5ddefa3f694d3e52541096411038
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