Introduction of ovos-model2vec-intents-roberta-base-ca-v2-cased-te
Model Details of ovos-model2vec-intents-roberta-base-ca-v2-cased-te
model_ca_m2v-256-roberta-base-ca-v2-cased-te 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_ca_m2v-256-roberta-base-ca-v2-cased-te")
# 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-roberta-base-ca-v2-cased-te on huggingface.co
13
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
9
30-day runs
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