Instructions to use helliun/article_sent_pol with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use helliun/article_sent_pol with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="helliun/article_sent_pol")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("helliun/article_sent_pol") model = AutoModelForSequenceClassification.from_pretrained("helliun/article_sent_pol") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f480752995efdf11a7dc696d980b12c89c9ca4dbcfae60ffd6dbd219d3227b1e
- Size of remote file:
- 670 MB
- SHA256:
- 1b78ea39b03e7c13c08d0e81d31ce379868436561cdd14db5d96581eda0c79c0
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