Instructions to use Denyol/FakeNews-deberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Denyol/FakeNews-deberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Denyol/FakeNews-deberta-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Denyol/FakeNews-deberta-base") model = AutoModelForSequenceClassification.from_pretrained("Denyol/FakeNews-deberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Denyol/FakeNews-deberta-base: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/Denyol/FakeNews-deberta-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Denyol/FakeNews-deberta-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Denyol/FakeNews-deberta-base/resolve/main/pytorch_model.bin
557 MB
- Xet hash:
- f8818e95de14bbfbab0cbd264e03d740033a9b8b8b8145b38b3cfd1ae5eaab84
- Size of remote file:
- 557 MB
- SHA256:
- b5d9b5e9f898f5ee551939348fb4b4ca8d812417ee40f057b9528a8c49b78807
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