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"])
@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}
}
Runs of Jarbas ovos-model2vec-intents-danish-bert-base-intent-classifier on huggingface.co
10
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs
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