Instructions to use Denyol/FakeNews-deberta-base-grad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Denyol/FakeNews-deberta-base-grad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Denyol/FakeNews-deberta-base-grad")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Denyol/FakeNews-deberta-base-grad") model = AutoModelForSequenceClassification.from_pretrained("Denyol/FakeNews-deberta-base-grad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Denyol/FakeNews-deberta-base-grad: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/Denyol/FakeNews-deberta-base-grad/resolve/main/training_args.bin
- Command line
-
hf download hf://Denyol/FakeNews-deberta-base-grad/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Denyol/FakeNews-deberta-base-grad/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 60a657ff7e2af596ea14e1789005b27ea8a82cb63eeb14ee6b0c952d14c08f72
- Size of remote file:
- 4.6 kB
- SHA256:
- 11a54d0ff95a6a25bfa21e9554883c3688552a3442b6a262f2f3088b30abbd00
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