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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SAP/miCSE") model = AutoModel.from_pretrained("SAP/miCSE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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# Model Training
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## Training Data
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# Model Training
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In order to make use of the **few-shot** capability of **miCSE**, the mode needs to be trained on your data. The source code and data splits used in the paper are available [here](https://github.com/SAP-samples/acl2023-micse).
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## Training Data
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