Instructions to use maurice/PolitBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maurice/PolitBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="maurice/PolitBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("maurice/PolitBERT") model = AutoModelForMaskedLM.from_pretrained("maurice/PolitBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 14d538a2bd655b6071dc3fc28e00086893867c9c2b3d97e51fb2e3c90b141ebd
- Size of remote file:
- 438 MB
- SHA256:
- 3b419a5fe3a736b623211c598618ac74ffaab5385fbc00fafdb1adc3a971f14f
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