Jarbas / ovos-model2vec-intents-danish-bert-base-intent-classifier

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Model's Last Updated: May 30 2025

Introduction of ovos-model2vec-intents-danish-bert-base-intent-classifier

Model Details of ovos-model2vec-intents-danish-bert-base-intent-classifier

model_da_m2v-256-danish-bert-base-intent-classifier Model Card

This Model2Vec model is a fine-tuned version of the unknown Model2Vec model. It also includes a classifier head on top.

Installation

Install model2vec using pip:

pip install model2vec[inference]
Usage

Load this model using the from_pretrained method:

from model2vec.inference import StaticModelPipeline

# Load a pretrained Model2Vec model
model = StaticModelPipeline.from_pretrained("model_da_m2v-256-danish-bert-base-intent-classifier")

# Predict labels
predicted = model.predict(["Example sentence"])
Additional Resources
Library Authors

Model2Vec was developed by the Minish Lab team consisting of Stephan Tulkens and Thomas van Dongen .

Citation

Please cite the Model2Vec repository if you use this model in your work.

@article{minishlab2024model2vec,
  author = {Tulkens, Stephan and {van Dongen}, Thomas},
  title = {Model2Vec: Fast State-of-the-Art Static Embeddings},
  year = {2024},
  url = {https://github.com/MinishLab/model2vec}
}

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ovos-model2vec-intents-danish-bert-base-intent-classifier install

ovos-model2vec-intents-danish-bert-base-intent-classifier is an open source model from GitHub that offers a free installation service, and any user can find ovos-model2vec-intents-danish-bert-base-intent-classifier on GitHub to install. At the same time, huggingface.co provides the effect of ovos-model2vec-intents-danish-bert-base-intent-classifier install, users can directly use ovos-model2vec-intents-danish-bert-base-intent-classifier installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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