Instructions to use robookwus/climate-change-belief with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use robookwus/climate-change-belief with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="robookwus/climate-change-belief")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("robookwus/climate-change-belief") model = AutoModelForSequenceClassification.from_pretrained("robookwus/climate-change-belief") - Notebooks
- Google Colab
- Kaggle
Classifiying whether a person believes in human-made climate change or not. Neutral or factual news are also options. Albert model trained with data from: https://www.kaggle.com/datasets/edqian/twitter-climate-change-sentiment-dataset works pretty poorly right now but will re-train it very soon with more data and a larger large language model..
- Downloads last month
- 5