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  1. README.md +3 -23
  2. model.safetensors +2 -2
  3. pipeline.skops +2 -2
  4. tokenizer.json +2 -2
README.md CHANGED
@@ -2,34 +2,14 @@
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  base_model: unknown
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  library_name: model2vec
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  license: mit
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- model_name: model_mul_M2V_multilingual_output
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  tags:
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  - embeddings
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  - static-embeddings
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  - sentence-transformers
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- datasets:
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- - Jarbas/ovos_intents_train
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- - Jarbas/ovos-llm-augmented-intents
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- - Jarbas/ovos-weather-intents
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- - Jarbas/music_queries_templates
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- - Jarbas/OVOSGitLocalize-Intents
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- - Jarbas/ovos_intent_examples
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- - Jarbas/ovos-common-query-intents
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- language:
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- - en
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- - de
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- - it
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- - pt
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- - da
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- - ca
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- - gl
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- - fr
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- - es
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- - nl
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- - eu
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  ---
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- # model_mul_M2V_multilingual_output Model Card
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  This [Model2Vec](https://github.com/MinishLab/model2vec) model is a fine-tuned version of the [unknown](https://huggingface.co/unknown) Model2Vec model. It also includes a classifier head on top.
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@@ -46,7 +26,7 @@ Load this model using the `from_pretrained` method:
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  from model2vec.inference import StaticModelPipeline
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  # Load a pretrained Model2Vec model
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- model = StaticModelPipeline.from_pretrained("model_mul_M2V_multilingual_output")
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  # Predict labels
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  predicted = model.predict(["Example sentence"])
 
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  base_model: unknown
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  library_name: model2vec
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  license: mit
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+ model_name: model_mul_m2v-256-LaBSE
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  tags:
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  - embeddings
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  - static-embeddings
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  - sentence-transformers
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ # model_mul_m2v-256-LaBSE Model Card
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  This [Model2Vec](https://github.com/MinishLab/model2vec) model is a fine-tuned version of the [unknown](https://huggingface.co/unknown) Model2Vec model. It also includes a classifier head on top.
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  from model2vec.inference import StaticModelPipeline
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  # Load a pretrained Model2Vec model
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+ model = StaticModelPipeline.from_pretrained("model_mul_m2v-256-LaBSE")
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  # Predict labels
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  predicted = model.predict(["Example sentence"])
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