Instructions to use LHF/eu-sts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LHF/eu-sts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LHF/eu-sts")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LHF/eu-sts") model = AutoModelForSequenceClassification.from_pretrained("LHF/eu-sts") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e75360fcf120bb5240becb92f0937ad24f12f7d39181af7c4160c76d3f39fe46
- Size of remote file:
- 498 MB
- SHA256:
- 3c5c752db733fff267d87c1ac388efa0678ad2a65bd93654551864a43890e2ae
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