Instructions to use ThaiUWA/py_just_rumour with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThaiUWA/py_just_rumour with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ThaiUWA/py_just_rumour")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ThaiUWA/py_just_rumour") model = AutoModel.from_pretrained("ThaiUWA/py_just_rumour") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 36ce2f96bf38801927642a3e481fa9afb8ecb8464e9739164232823940f673d8
- Size of remote file:
- 1.42 GB
- SHA256:
- 2d08ddc63bcd41f4b2f7c8fa1bcc286f52fd32521632fdd3370444e0b2263333
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