Instructions to use helliun/article_title_pol with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use helliun/article_title_pol with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="helliun/article_title_pol")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("helliun/article_title_pol") model = AutoModelForSequenceClassification.from_pretrained("helliun/article_title_pol", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc646550efae2d757a391e0199d1ae739c3c24529c3cb5e1aa344426d353308f
- Size of remote file:
- 499 MB
- SHA256:
- c6db1b35edaad0eb5fba2dbf92468ae22160caa29a2e419221d1def2e49705e6
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