Instructions to use helliun/article_pol with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use helliun/article_pol with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="helliun/article_pol")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("helliun/article_pol") model = AutoModelForSequenceClassification.from_pretrained("helliun/article_pol", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0bed014482448e7fca0084e1250a32defe9ba05e9375e0973c69227b9a088a0d
- Size of remote file:
- 438 MB
- SHA256:
- b52b2694614589ae63a784cd7eb94d4e5bf0da7c2122e831ca7fdd7a69229732
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