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jina-embeddings-v2-base-code is an open-source coding embedding model supporting 8192 sequence length. This state-of-the-art AI embedding model enables many applications, such as code review, static analyses, documentation assistance, code search, or retrieval augmented generation (RAG).
Model Package - 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/bert-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 sentence...
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 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
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This model is specialized in the classification of health-related textual data, particularly focusing on colloquial expressions. Its core functionality is to accurately identify whether the text includes references to side effects stemming from drug usage. This capability is crucial for monitoring...
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/roberta-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 sentence...
Model Package - Fulfilled on Amazon SageMaker
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jina-embeddings-v2-base-es is an open-source bilingual Spanish-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
Corporate culture defined as "a set of norms and values that are widely shared and strongly held throughout the organization" is an important aspect of employees’ relationship with their organization. The most important corporate cultural categories are: Integrity, Teamwork, Innovation, Respect,...
Model Package - Fulfilled on Amazon SageMaker
Emotion Analysis algorithm uses Natural Language Processing (NLP) to predict the emotion classes from a corpus of text. The algorithm analyses individual text expressions in tweets, comments, etc. made on social media platforms or captured in any other text format to classify across four emotion...
Model Package - Fulfilled on Amazon SageMaker
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