Instructions to use paragon-analytics/bert_empathy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paragon-analytics/bert_empathy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="paragon-analytics/bert_empathy")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("paragon-analytics/bert_empathy") model = AutoModelForSequenceClassification.from_pretrained("paragon-analytics/bert_empathy") - Notebooks
- Google Colab
- Kaggle
Dataset Details
#2
by tpadhi1 - opened
What is the dataset that was used to train this model ?
The data includes sentences drawn from S&P500 corporate quarterly earnings calls transcripts. They were manually labeled by two research assistants.
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