Feature Extraction
Transformers
Safetensors
English
marqo-chimera-arctic-bge-m
mteb
marqo
retrieval
custom_code
Eval Results (legacy)
Instructions to use Marqo/marqo-chimera-arctic-bge-m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Marqo/marqo-chimera-arctic-bge-m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Marqo/marqo-chimera-arctic-bge-m", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Marqo/marqo-chimera-arctic-bge-m", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# Query: "What is vector search?"
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# Score: 0.
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# Score: 0.
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# Query: "Where can I get the best pizza?"
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# Score: 0.
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## FAQ
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# Query: "What is vector search?"
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# Score: 0.4997 | Document: "Marqo is an end-to-end platform for embedding training and retrieval."
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# Score: 0.2509 | Document: "Definitely Naples! The birthplace of pizza, and it’s as authentic as it gets."
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# Query: "Where can I get the best pizza?"
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# Score: 0.7444 | Document: "Definitely Naples! The birthplace of pizza, and it’s as authentic as it gets."
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# Score: 0.3303 | Document: "Marqo is an end-to-end platform for embedding training and retrieval."
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## FAQ
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