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:
- 66ba37274c7b0c2334eeb021d55413edf1786cc499cee1ce8960eb175f92a418
- Size of remote file:
- 371 kB
- SHA256:
- 7be6bd03624219fb66c3d2654721896d3a4d35b5a3e2397b3160db33b86d520f
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