Instructions to use Seznam/simcse-small-e-czech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Seznam/simcse-small-e-czech with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Seznam/simcse-small-e-czech") model = AutoModel.from_pretrained("Seznam/simcse-small-e-czech") - Notebooks
- Google Colab
- Kaggle
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SimCSE-Small-E-Czech is the [Seznam/small-e-czech](https://huggingface.co/Seznam/small-e-czech/) model fine-tuned with the [SimCSE](https://arxiv.org/abs/2104.08821) objective.
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This model was created at Seznam.cz as part of a project to create high-quality small Czech semantic embedding models. These models perform well across various natural language processing tasks, including similarity search, retrieval, clustering, and classification. For further details or evaluation results, please visit the associated [paper]() or [GitHub repository](https://github.com/seznam/czech-semantic-embedding-models).
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## How to Use
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SimCSE-Small-E-Czech is the [Seznam/small-e-czech](https://huggingface.co/Seznam/small-e-czech/) model fine-tuned with the [SimCSE](https://arxiv.org/abs/2104.08821) objective.
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This model was created at Seznam.cz as part of a project to create high-quality small Czech semantic embedding models. These models perform well across various natural language processing tasks, including similarity search, retrieval, clustering, and classification. For further details or evaluation results, please visit the associated [paper](https://ojs.aaai.org/index.php/AAAI/article/download/30307/32315) or [GitHub repository](https://github.com/seznam/czech-semantic-embedding-models).
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## How to Use
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