Instructions to use matthewleechen/scientist_MP_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use matthewleechen/scientist_MP_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="matthewleechen/scientist_MP_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("matthewleechen/scientist_MP_classifier") model = AutoModelForSequenceClassification.from_pretrained("matthewleechen/scientist_MP_classifier") - Notebooks
- Google Colab
- Kaggle
metadata
library_name: transformers
tags: []
This is a fine-tuned XLM-RoBERTa-large classifier trained to identify whether historical MPs in the British Parliament were scientists, anthropologists, explorers, or geographers, or came from such families.