This is a Text Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/tensorflow/bert_en_cased_L-12_H-768_A-12/2). It takes a text string as input and classifies the input text as either a positive or negative movie review. The Text Embedding model which is...
Model Package - Fulfilled on Amazon SageMaker
Life event detection is a machine learning based psychological data analysis solution which currently works on social media data. It can detect total 23 categories as life events, such as : 'relationship', 'exam', 'marriage', 'death', 'awards', 'birthday', 'sick', 'courtCase', 'event' etc. This...
Model Package - Fulfilled on Amazon SageMaker
This solution will evaluate between several deep learning models of various architectures on the user provided data. It will identify the best performing deep learning model architecture on the basis of validation metric for text classification. This will reduce the time and effort for the model...
Algorithm - Fulfilled on Amazon SageMaker
This is a Sentence Pair Classification model built upon a Text Embedding model from [PyTorch Hub](https://pytorch.org/hub/huggingface_pytorch-transformers/). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies...
Model Package - Fulfilled on Amazon SageMaker
This is a Sentence Pair Classification model built upon a Text Embedding model from [Hugging Face](https://huggingface.co/distilbert-base-cased). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies the second...
Model Package - Fulfilled on Amazon SageMaker
This is a Sentence Pair Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/google/experts/bert/wiki_books/1). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies the...
Model Package - Fulfilled on Amazon SageMaker
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jina-embeddings-v2-base-de is an open-source bilingual German-English embedding model supporting 8192 sequence length. This state-of-the-art AI embedding model enables many applications, such as document clustering, classification, content personalization, vector search, or retrieval augmented...
Model Package - Fulfilled on Amazon SageMaker
This is a Sentence Pair Classification model built upon a Text Embedding model from [Hugging Face](https://huggingface.co/distilroberta-base). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies the second...
Model Package - Fulfilled on Amazon SageMaker
This is a Natural Language Processing (NLP) based text classification solution that helps identify whether a given consumer complaint requires monetary compensation based on the complaint narrative. A complaint is classified as either requiring monetary relief or can be resolved through...
Model Package - Fulfilled on Amazon SageMaker
This is a Text Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/google/experts/bert/wiki_books/1). It takes a text string as input and classifies the input text as either a positive or negative movie review. The Text Embedding model which is pre-trained...
Model Package - Fulfilled on Amazon SageMaker
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