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--- |
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pipeline_tag: sentence-similarity |
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language: es |
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license: apache-2.0 |
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tags: |
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- passage-retrieval |
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- sentence-similarity |
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- pruned |
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library_name: sentence-transformers |
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base_model: cnmoro/snowflake-arctic-embed-m-v2.0-cpu |
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base_model_relation: quantized |
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--- |
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# 🇪🇸 spanish-snowflake-arctic-embed-m-v2.0-cpu |
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This model is a 50.7% smaller version of [cnmoro/snowflake-arctic-embed-m-v2.0-cpu](https://huggingface.co/cnmoro/snowflake-arctic-embed-m-v2.0-cpu) |
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for the Spanish language, created using the [mtem-pruner](https://huggingface.co/spaces/antoinelouis/mtem-pruner) space. |
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This pruned model should perform similarly to the original model for Spanish language tasks with a much smaller |
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memory footprint. However, it may not perform well for other languages present in the original multilingual model as tokens not |
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commonly used in Spanish were removed from the original multilingual model's vocabulary. |
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## Usage |
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You can use this model with the Transformers library: |
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```python |
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from transformers import AutoModel, AutoTokenizer |
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model_name = "CarlosRCDev/spanish-snowflake-arctic-embed-m-v2.0-cpu" |
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model = AutoModel.from_pretrained(model_name, trust_remote_code=True) |
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tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True, use_fast=True) |
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``` |
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Or with the sentence-transformers library: |
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```python |
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from sentence_transformers import SentenceTransformer |
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model = SentenceTransformer("CarlosRCDev/spanish-snowflake-arctic-embed-m-v2.0-cpu") |
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``` |
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**Credits**: cc [@antoinelouis](https://huggingface.co/antoinelouis) |
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