Instructions to use MYC007/Real-and-Fake-News-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MYC007/Real-and-Fake-News-Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MYC007/Real-and-Fake-News-Detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MYC007/Real-and-Fake-News-Detection") model = AutoModelForSequenceClassification.from_pretrained("MYC007/Real-and-Fake-News-Detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc5a3089dac5d30fb9cae63aca1e918b67c93a90db0a82d87e8bfc1c97d3a2ed
- Size of remote file:
- 499 MB
- SHA256:
- 8128d5e62c7bb92dde66222e2b200962c55671f6a07b119b3b26172b280ba336
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