Instructions to use Thegame1161/tiny-bert-detect-fake-news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Thegame1161/tiny-bert-detect-fake-news with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Thegame1161/tiny-bert-detect-fake-news")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Thegame1161/tiny-bert-detect-fake-news") model = AutoModelForSequenceClassification.from_pretrained("Thegame1161/tiny-bert-detect-fake-news") - Notebooks
- Google Colab
- Kaggle
TinyBERT for Fake News Detection This model is a fine-tuned version of TinyBERT specifically designed for detecting fake news. It offers a lightweight yet effective solution for identifying potentially misleading or false information in text. Built with efficiency in mind, it provides a good balance between accuracy and speed, making it suitable for various applications.
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Model tree for Thegame1161/tiny-bert-detect-fake-news
Base model
huawei-noah/TinyBERT_General_4L_312D