Instructions to use scherrmann/GermanFinBert_SC_Sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scherrmann/GermanFinBert_SC_Sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="scherrmann/GermanFinBert_SC_Sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("scherrmann/GermanFinBert_SC_Sentiment") model = AutoModelForSequenceClassification.from_pretrained("scherrmann/GermanFinBert_SC_Sentiment") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf0a7593d3c57b9bf31f6c2b1a149abe1e87c4430610b6aaa44423eb0ae2aa95
- Size of remote file:
- 436 MB
- SHA256:
- 8bcfa74c26f8ea2c14cc5026291947d2d6db841a80ec15043fa9f2f6a456475d
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