Instructions to use RecordedFuture/Swedish-Sentiment-Violence-Targets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RecordedFuture/Swedish-Sentiment-Violence-Targets with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="RecordedFuture/Swedish-Sentiment-Violence-Targets")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("RecordedFuture/Swedish-Sentiment-Violence-Targets") model = AutoModelForTokenClassification.from_pretrained("RecordedFuture/Swedish-Sentiment-Violence-Targets") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 90344165dd246f58ac194b43fea23ed9196461f2657ef96dca466094f2549d8d
- Size of remote file:
- 496 MB
- SHA256:
- 0d29799ab215ba637fece035b7629d1e76d0a900e2ed71b696b00ae0473f6da5
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