IsraelHebrewSentiment analysis24K+ monthly downloads

Explore HeBERT Sentiment

Classify Hebrew text as neutral, positive, or negative with HeBERT’s polarity-analysis checkpoint.

Model

avichr/heBERT_sentiment_analysis

Input

Configure your request

inputs

A Hebrew string, JSON list of strings, or {"text","text_pair"} object passed to TextClassificationPipeline inputs.

Parameters

top_k

Return up to all three polarity labels: neutral, positive, and negative.

function_to_apply

Score transformation accepted by TextClassificationPipeline; an empty value uses the model-aware default.

tokenizer_kwargs

Optional JSON object of keyword arguments passed directly to the tokenizer.