Instructions to use CohereLabs/Cohere-embed-multilingual-light-v3.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CohereLabs/Cohere-embed-multilingual-light-v3.0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CohereLabs/Cohere-embed-multilingual-light-v3.0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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# Cohere embed-multilingual-light-v3.0
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This repository contains the tokenizer for the Cohere `embed-multilingual-light-v3.0` model.
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You can use the embedding model either via the Cohere API, AWS SageMaker or in your private deployments.
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# Cohere embed-multilingual-light-v3.0
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This repository contains the tokenizer for the Cohere `embed-multilingual-light-v3.0` model. See our blogpost [Cohere Embed V3](https://txt.cohere.com/introducing-embed-v3/) for more details on this model.
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You can use the embedding model either via the Cohere API, AWS SageMaker or in your private deployments.
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