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
File size: 134 Bytes
7764733 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7ee9e94d8f164538c9700526430954c01a1797f4eb1e24e8154a5f0d0cc8376e
size 498780220
|