Instructions to use reetghosh1/FakeNews with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reetghosh1/FakeNews with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="reetghosh1/FakeNews")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("reetghosh1/FakeNews") model = AutoModelForSequenceClassification.from_pretrained("reetghosh1/FakeNews", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fca2fa62092df67ed203767ad9113675e4461b63193038f9e0da9f2285b645d1
- Size of remote file:
- 268 MB
- SHA256:
- 55337027d4765531389a8be5c383c78194858b1380067315e761ee0e12815955
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.