Text Classification
Transformers
PyTorch
English
roberta
fill-mask
fake-news
distilroberta
nlp
deep-learning
huggingface
fine-tuning
misinformation
text-embeddings-inference
Instructions to use YerayEsp/FakeBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YerayEsp/FakeBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YerayEsp/FakeBERTa")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("YerayEsp/FakeBERTa") model = AutoModelForMaskedLM.from_pretrained("YerayEsp/FakeBERTa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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- fine-tuning
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- misinformation
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FakeBerta: A Fine-Tuned DistilRoBERTa Model for Fake News Detection
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You can check the model's fine-tuning code on my GitHub.
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- fine-tuning
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- misinformation
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**FakeBerta: A Fine-Tuned DistilRoBERTa Model for Fake News Detection**
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You can check the model's fine-tuning code on my GitHub.
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