Instructions to use RecordedFuture/Swedish-Sentiment-Violence with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RecordedFuture/Swedish-Sentiment-Violence with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RecordedFuture/Swedish-Sentiment-Violence")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RecordedFuture/Swedish-Sentiment-Violence") model = AutoModelForSequenceClassification.from_pretrained("RecordedFuture/Swedish-Sentiment-Violence") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53ff0100ad2552aee92acedd50ab7294f986bf1408dd2abb83ae20ace4d91d38
- Size of remote file:
- 499 MB
- SHA256:
- 6111cbe3013a25a577987dd7ffdb0039be3c469e066a374a42741f8cd7bc4ccf
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