This is a Sentence Pair Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/google/experts/bert/pubmed/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 second...
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/electra_base/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 on...
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-large-uncased-whole-word-masking). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment...
Model Package - Fulfilled on Amazon SageMaker
The ZS Canary Decision Studio includes a library of applications that are assembled to develop comprehensive solutions to common use cases. There are four modules: Map, Web Scrape, Auto Profile and Alert. These work in tandem to provide customized risk scores and recommendations to mitigate supply...
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
At Lelapa AI, we are dedicated to enhancing language technology and expanding its accessibility with our Vulavula Multilingual Sentiment Analysis Model, tailored for Africa's rich linguistic landscape. This cutting-edge model accurately assesses and classifies sentiments in text, capturing emotions...
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/tensorflow/bert_en_uncased_L-12_H-768_A-12/2). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment...
Model Package - Fulfilled on Amazon SageMaker
Explainable AI - NLP Models solution can identify the important words (tokens) from a text classification model and provide the effect they have on each predicted class. The solution can work with many sklearn based models without specifying the type of algorithm used to create these models. This...
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-multilingual-cased). 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 [TensorFlow Hub](https://tfhub.dev/tensorflow/bert_en_uncased_L-24_H-1024_A-16/2). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment...
Model Package - Fulfilled on Amazon SageMaker
showing 61 - 70