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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2900f6fa2903a60f7bf51ff1aa2b8e5ea47f2baa9ce8c7cfe172594c0b3f1b87
- Size of remote file:
- 436 MB
- SHA256:
- ad3354cd382f52b9e02f7bbe1706bccf5c9399101495442770df827403644d1b
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