Instructions to use SprintEins-Orga/gBERT-semantic-sts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SprintEins-Orga/gBERT-semantic-sts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SprintEins-Orga/gBERT-semantic-sts")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SprintEins-Orga/gBERT-semantic-sts") model = AutoModel.from_pretrained("SprintEins-Orga/gBERT-semantic-sts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Special thanks to aari1995 for providing the model German_Semantic_STS_V2.
This is a copy of the model to ensure its availability for our project.
All details about the model can be found here: https://huggingface.co/aari1995/German_Semantic_STS_V2
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