Instructions to use helliun/bart-perspectives with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use helliun/bart-perspectives with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("helliun/bart-perspectives") model = AutoModelForSeq2SeqLM.from_pretrained("helliun/bart-perspectives", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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## Overview
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The BART-perspectives model is a sequence-to-sequence
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## Usage
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## Overview
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The BART-perspectives model is a sequence-to-sequence transformers mode;. Built on top of Facebook's BART-large (specifically the `philschmid/bart-large-cnn-samsum` finetune), it is specifically designed to extract perspectives from textual data at scale. The model provides an in-depth analysis of the speaker's identity, their emotions, the object of these emotions, and the reason behind these emotions.
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## Usage
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