Text Classification
Transformers
Safetensors
English
bert
multi-label
osint
news
country
text-embeddings-inference
Instructions to use paneru-rajan/bert-news-paragraph-country-classify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paneru-rajan/bert-news-paragraph-country-classify with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="paneru-rajan/bert-news-paragraph-country-classify")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("paneru-rajan/bert-news-paragraph-country-classify") model = AutoModelForSequenceClassification.from_pretrained("paneru-rajan/bert-news-paragraph-country-classify") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 8c76b9f96ffb022816fbc5263150a52f1d59442f687d8a406ef0afe5cc6aa1f8
- Size of remote file:
- 1.28 MB
- SHA256:
- ad9ee2bfdb6f5cb9f76d52f121517a7a17f30b83ea31500952fb1b1580b42edd
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