Instructions to use matthewleechen/imperialist_articles with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use matthewleechen/imperialist_articles with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="matthewleechen/imperialist_articles")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("matthewleechen/imperialist_articles") model = AutoModelForSequenceClassification.from_pretrained("matthewleechen/imperialist_articles", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 518139f30e4ef7f733e2c8e7033ae002ead43d8b8193630da4fb55faf652e7c1
- Size of remote file:
- 1.42 GB
- SHA256:
- 7e8a7b94add35cc7453342d0b9d3fbf3abeb3544baae7fd13064996d29c61790
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