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custom-model2vec-tokenlearn-medium
cnmoro/custom-model2vec-tokenlearn-medium
custom-model2vec-tokenlearn-medium is a machine learning model from cnmoro. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for model2vec. The card lists the license as mit.
A custom model2vec model, trained using a modified version of the tokenlearn library.
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256 MB on disk
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At a glance
- Library
- model2vec
- License
- mit
- Model type
- model2vec
- Access
- Public
- Created
- Oct 26, 2025
- Updated
- Oct 27, 2025
- SHA
- a96e898f
Model card
From the Hugging Face model README
A custom model2vec model, trained using a modified version of the tokenlearn library.
Base model is nomic-ai/nomic-embed-text-v2-moe.
The output dimension is 256, and the vocabulary size is 249.999
The training process used a mix of English (10%) and Portuguese (90%) texts.
from model2vec import StaticModel
# Load a pretrained Sentence Transformer model
model = StaticModel.from_pretrained("cnmoro/custom-model2vec-tokenlearn-medium")
# Compute text embeddings
embeddings = model.encode(["Example sentence"])
- Library
- model2vec
- Type
- model2vec
- License
- mit
- Languages
- pt, en
- Created
- Oct 26, 2025
- Updated
- Oct 27, 2025