How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="matthewleechen/colonial_scientific_articles")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("matthewleechen/colonial_scientific_articles")
model = AutoModelForSequenceClassification.from_pretrained("matthewleechen/colonial_scientific_articles", device_map="auto")
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Check out the documentation for more information.

Model Overview

This is a fine-tuned RoBERTa-large model that classifies the title of a scientific article from JSTOR (1800-1900) by whether it is on a colonial topic.

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Model size
0.4B params
Tensor type
F32
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