Instructions to use RecordedFuture/Swedish-Sentiment-Fear with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RecordedFuture/Swedish-Sentiment-Fear with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RecordedFuture/Swedish-Sentiment-Fear")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RecordedFuture/Swedish-Sentiment-Fear") model = AutoModelForSequenceClassification.from_pretrained("RecordedFuture/Swedish-Sentiment-Fear") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): b6a482b
another readme fix
Browse files
README.md
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@@ -51,7 +51,7 @@ The model be can imported from the transformers library by running
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from transformers import BertForSequenceClassification, BertTokenizerFast
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tokenizer = BertTokenizerFast.from_pretrained("RecordedFuture/Swedish-Sentiment-Violence")
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classifier_violence =
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When the model and tokenizer are initialized the model can be used for inference.
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from transformers import BertForSequenceClassification, BertTokenizerFast
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tokenizer = BertTokenizerFast.from_pretrained("RecordedFuture/Swedish-Sentiment-Violence")
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classifier_violence = BertForSequenceClassification.from_pretrained("RecordedFuture/Swedish-Sentiment-Violence")
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When the model and tokenizer are initialized the model can be used for inference.
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