Text Classification
Transformers
PyTorch
JAX
Safetensors
English
bert
news
classification
mini
Eval Results (legacy)
Instructions to use mrm8488/bert-mini-finetuned-age_news-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/bert-mini-finetuned-age_news-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mrm8488/bert-mini-finetuned-age_news-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mrm8488/bert-mini-finetuned-age_news-classification") model = AutoModelForSequenceClassification.from_pretrained("mrm8488/bert-mini-finetuned-age_news-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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