Instructions to use FakeNewsLlama/SocialTrueFakeClassifier_E1_LR4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FakeNewsLlama/SocialTrueFakeClassifier_E1_LR4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FakeNewsLlama/SocialTrueFakeClassifier_E1_LR4")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("FakeNewsLlama/SocialTrueFakeClassifier_E1_LR4") model = AutoModelForSequenceClassification.from_pretrained("FakeNewsLlama/SocialTrueFakeClassifier_E1_LR4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from FakeNewsLlama/SocialTrueFakeClassifier_E1_LR4: direct link, hf CLI and curl.
- Browser
- Download file 1.84 MB
-
https://huggingface.co/FakeNewsLlama/SocialTrueFakeClassifier_E1_LR4/resolve/main/tokenizer.json
- Command line
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hf download hf://FakeNewsLlama/SocialTrueFakeClassifier_E1_LR4/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/FakeNewsLlama/SocialTrueFakeClassifier_E1_LR4/resolve/main/tokenizer.json
1.84 MB
File too large to display, you can check the raw version instead.