Instructions to use Denyol/FakeNews-deberta-base-html with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Denyol/FakeNews-deberta-base-html with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Denyol/FakeNews-deberta-base-html")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Denyol/FakeNews-deberta-base-html") model = AutoModelForSequenceClassification.from_pretrained("Denyol/FakeNews-deberta-base-html", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Denyol/FakeNews-deberta-base-html: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/Denyol/FakeNews-deberta-base-html/resolve/main/training_args.bin
- Command line
-
hf download hf://Denyol/FakeNews-deberta-base-html/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Denyol/FakeNews-deberta-base-html/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- 9c678d6511e86b5f7412ed06bd9eabd411aa765ca1b37a90e7dda4fe753582fe
- Size of remote file:
- 4.54 kB
- SHA256:
- 8cd7a196d666354d9976c8138390ead4ed6b61b969a090c64c174441c6fec239
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