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lenta-w2v-cbow-300d
theformatisvalid/lenta-w2v-cbow-300d
lenta-w2v-cbow-300d is a machine learning model from theformatisvalid. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
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Public
Updated Nov 8, 2025
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At a glance
- License
- mit
- Access
- Public
- Created
- Nov 8, 2025
- Updated
- Nov 8, 2025
- SHA
- 3d7816cb
Model card
From the Hugging Face model README
[Lenta Word2Vec CBOW 300D]
🗃️ Corpus
109k+ words from lenta.ru (2025)
⚙️ Параметры
- Algorithm: Word2Vec CBOW
- Vector size: 300
- Window size: 10
- Min frequency: 10
📊 Metrics
- Word analogy accuracy: 42.86%
- Semantic similarity correlation: 0.18
- Vocabulary coverage: 28.76%
💻 Use case
from gensim.models import Word2Vec
model = Word2Vec.load("lenta_w2v_cbow_300d.model")
similar = model.wv.most_similar("путин")
- License
- mit
- Created
- Nov 8, 2025
- Updated
- Nov 8, 2025