Instructions to use Commandante/german-party-sentiment-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Commandante/german-party-sentiment-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Commandante/german-party-sentiment-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Commandante/german-party-sentiment-bert") model = AutoModelForSequenceClassification.from_pretrained("Commandante/german-party-sentiment-bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7fe7f834feb18e95704e191d55b4033e385c3ed189489d621584577e6b2337c0
- Size of remote file:
- 4.79 kB
- SHA256:
- 63e36554865c2e1c9b8df034e838e63dbd2f57b7773615837374a9ada70824e5
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