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:
- 68e23b777366c52b95c577cdc156b0ef66a5f98dfec3a9532a9da6e1bb2524a0
- Size of remote file:
- 433 MB
- SHA256:
- 0388b57b341b1d9e5a552a12f48a50b372f16ea2fd8e13cf59dfa3af158a34af
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