Instructions to use Denyol/FakeNews-deberta-base-stopwords with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Denyol/FakeNews-deberta-base-stopwords with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Denyol/FakeNews-deberta-base-stopwords")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Denyol/FakeNews-deberta-base-stopwords") model = AutoModelForSequenceClassification.from_pretrained("Denyol/FakeNews-deberta-base-stopwords", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Denyol/FakeNews-deberta-base-stopwords: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/Denyol/FakeNews-deberta-base-stopwords/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Denyol/FakeNews-deberta-base-stopwords/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Denyol/FakeNews-deberta-base-stopwords/resolve/main/pytorch_model.bin
557 MB
- Xet hash:
- f0fd7c6c0c2e6284e9da62a5bf9e9a502e917fc6c5a357b4a3bc4a695103a0fd
- Size of remote file:
- 557 MB
- SHA256:
- 7d118f5eba87a37ea1774c750c8c68eed19d7ebb248e3e4c59082b70531e2665
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