Sentence Similarity
Transformers
PyTorch
Safetensors
English
bert
feature-extraction
text-embeddings-inference
Instructions to use SAP/miCSE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SAP/miCSE with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SAP/miCSE") model = AutoModel.from_pretrained("SAP/miCSE") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b50739232cab23fa4f3f03b02fa12367b06f599dcb3c05f9a0a0f0004a02cc61
- Size of remote file:
- 438 MB
- SHA256:
- 11b832ae2c782cf110a0da2c1617632842437eefbc9ba9088f6120add9801f84
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