Instructions to use mansee/nli-sentence-contradiction-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mansee/nli-sentence-contradiction-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mansee/nli-sentence-contradiction-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mansee/nli-sentence-contradiction-classification") model = AutoModelForSequenceClassification.from_pretrained("mansee/nli-sentence-contradiction-classification") - Notebooks
- Google Colab
- Kaggle
mansee/nli-sentence-contradiction-classification
This model is a fine-tuned version of sentence-transformers/nli-mpnet-base-v2 on an unknown dataset.
Model Details
Model Description
This is a natural language inference model to predict whether a given premise is contradictory, entailment or neutral to the hypothesis.
Training Details
Training Data
[More Information Needed]
Training Procedure
Preprocessing [optional]
[More Information Needed]
Training Hyperparameters
- Training regime: [More Information Needed]
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