multilingual-e5-large-mlx
This model was converted to MLX format from intfloat/multilingual-e5-large.
Refer to the original model card for more details on the model.
Use with mlx
pip install mlx
git clone https://github.com/ml-explore/mlx-examples.git
cd mlx-examples/llms/hf_llm
python generate.py --model mlx-community/multilingual-e5-large-mlx --prompt "My name is"
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Inference Providers
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This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Spaces using mlx-community/multilingual-e5-large-mlx 2
Evaluation results
- accuracy on MTEB AmazonCounterfactualClassification (en)test set self-reported79.060
- ap on MTEB AmazonCounterfactualClassification (en)test set self-reported43.487
- f1 on MTEB AmazonCounterfactualClassification (en)test set self-reported73.327
- accuracy on MTEB AmazonCounterfactualClassification (de)test set self-reported71.221
- ap on MTEB AmazonCounterfactualClassification (de)test set self-reported81.558
- f1 on MTEB AmazonCounterfactualClassification (de)test set self-reported69.283
- accuracy on MTEB AmazonCounterfactualClassification (en-ext)test set self-reported80.420
- ap on MTEB AmazonCounterfactualClassification (en-ext)test set self-reported29.349
- f1 on MTEB AmazonCounterfactualClassification (en-ext)test set self-reported67.625
- accuracy on MTEB AmazonCounterfactualClassification (ja)test set self-reported77.837