Instructions to use Donmonc/FakeNewsDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Donmonc/FakeNewsDetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Donmonc/FakeNewsDetection")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Donmonc/FakeNewsDetection") model = AutoModelForSequenceClassification.from_pretrained("Donmonc/FakeNewsDetection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Donmonc/FakeNewsDetection: direct link, hf CLI and curl.
- Browser
- Download file 4.16 kB
-
https://huggingface.co/Donmonc/FakeNewsDetection/resolve/main/training_args.bin
- Command line
-
hf download hf://Donmonc/FakeNewsDetection/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Donmonc/FakeNewsDetection/resolve/main/training_args.bin
4.16 kB
- Xet hash:
- 99d9b826bb9eee1b6dcf4b32ce522533fe49f984079af3d495ee88ea6c0dbaae
- Size of remote file:
- 4.16 kB
- SHA256:
- 0b67f577d0e61651d097105f80c3a49c455f977dfad1ee63b1b9312b2df33ea1
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