Instructions to use Outposts/news-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Outposts/news-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Outposts/news-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Outposts/news-classification") model = AutoModelForSequenceClassification.from_pretrained("Outposts/news-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 82 Bytes
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"[CLS]": 101,
"[MASK]": 103,
"[PAD]": 0,
"[SEP]": 102,
"[UNK]": 100
}
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