Instructions to use Denyol/FakeNews-roberta-base-url with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Denyol/FakeNews-roberta-base-url with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Denyol/FakeNews-roberta-base-url")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Denyol/FakeNews-roberta-base-url") model = AutoModelForSequenceClassification.from_pretrained("Denyol/FakeNews-roberta-base-url", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Denyol/FakeNews-roberta-base-url: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/Denyol/FakeNews-roberta-base-url/resolve/fececd3ca29343c38be45f38005b69303e548286/pytorch_model.bin
- Command line
-
hf download hf://Denyol/FakeNews-roberta-base-url@fececd3ca29343c38be45f38005b69303e548286/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Denyol/FakeNews-roberta-base-url/resolve/fececd3ca29343c38be45f38005b69303e548286/pytorch_model.bin
499 MB
- Xet hash:
- 8c8be81fb802cc482989668c31eebd945f5a1026133b36377cf6826ddaa41a9e
- Size of remote file:
- 499 MB
- SHA256:
- 7a0ab82d06587bd9ef96ab7cc399c76aaa3154637996c3db356b56b14db2e896
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