Instructions to use George-Ogden/bert-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/bert-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/bert-base-cased-finetuned-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("George-Ogden/bert-base-cased-finetuned-mnli") model = AutoModelForSequenceClassification.from_pretrained("George-Ogden/bert-base-cased-finetuned-mnli") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f4ef5bc86fd2aa9a814a2521a78ab53abe2fbe109e05d05b62110f11d888935
- Size of remote file:
- 433 MB
- SHA256:
- 91daa7f88fee38dfc775ef27938acc2194e6ff177fdcc3a9e66f9600552f56ab
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