roberta large mnli Table of Contents Model Details How To Get Started With the Model Uses Risks, Limitations and Biases Training Evaluation Environmental Impact Technical Specifications Citation Information Model Card Authors Model Details Model Description: roberta large mnli is the RoBERTa large model fine tuned on the Multi Genre Natural Language Inference (MNLI) corpus. The model is a pretrained model on English language text using a masked language modeling (MLM) objective. Developed by: See GitHub Repo for model developers Model Type: Transformer based language model Language(s): English License: MIT Parent Model: This model is a fine tuned version of the RoBERTa large model. Users should see the RoBERTa large model card for relevant information. Resources for more information: Research Paper GitHub Repo How to Get Started with the Model Use the code below to get started with the model. The model can be loaded with the zero shot classification pipeline like so: You can then use this pipeline to classify sequences into any of the class names you specify. For example: Uses Direct Use This fine tuned model can be used for zero shot classification tasks, including zero shot sente…
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