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
Guardian uses true Natural Language Understanding (NLU) AI to go beyond keyword-based filters to detect harmful or healthy content. Guardian can discover and act at scale on difficult-to-detect behaviors that other solutions miss: Child sexual abuse material (CSAM) Bullying Hate...
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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 Text Summarization model built upon a Transformer model from [Hugging Face](https://huggingface.co/google/bigbird-pegasus-large-arxiv). The deployed model can be used for running inference on any English input text.
Model Package - Fulfilled on Amazon SageMaker
This solution identifies and anonymizes Personally Identifiable Information like Name, SSN, Email, Phone numbers from tabular data. The Solution is designed to work on structured data source.
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
To make the most out of search engine software like Elasticsearch, when dealing with Hebrew texts a dedicated conversion layer (Analyzer) has to be used in order for Hebrew to even be searchable, and to leverage the full range of features provided by the search engine itself. Eyfo's Hebrew Search...
Starting from $0.10/hr or from $899.00/yr (1% savings) for software + AWS usage fees
Orca 2 models are trained using a teacher-student scheme, where a larger, more powerful LLM acts as a teacher for a smaller student LLM, with the goal of improving the performance of the student to be comparable with that of a larger model. When evaluated on benchmarks, a 13B parameter Orca 2...
Linux/Unix, Ubuntu 22.04 - 64-bit Amazon Machine Image (AMI)
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This model is engineered for the extraction of adverse drug events (ADEs) from unstructured clinical texts, leveraging several components finely tuned for this purpose: - Entity Recognition: Initially, the model accurately identifies entities related to adverse events (such as rash, nausea) and...
Model Package - Fulfilled on Amazon SageMaker
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