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glove-2024-dolma
NeuML/glove-2024-dolma
glove-2024-dolma is a sentence similarity model from NeuML. Use it when you need a score for how close two texts are. It is set up for staticvectors. The card lists the license as pddl.
This model is an export of the new GloVe 2024 Dolma Vectors (300d) for staticvectors. staticvectors enables running inference in Python with NumPy. This helps it maintain solid runtime performance.
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.sqlite1.7 GB · 53%
At a glance
- Task
- Sentence Similarity
- Library
- staticvectors
- License
- pddl
- Model type
- staticvectors
- Access
- Public
- Created
- Jul 29, 2025
- Updated
- Jul 29, 2025
- SHA
- 5ffbff08
Model card
From the Hugging Face model README
GloVe 2024 Dolma StaticVectors model
This model is an export of the new GloVe 2024 Dolma Vectors (300d) for staticvectors. staticvectors enables running inference in Python with NumPy. This helps it maintain solid runtime performance.
Usage with StaticVectors
from staticvectors import StaticVectors
model = StaticVectors("neuml/glove-2024-dolma")
model.embeddings(["word"])
Given that pre-trained embeddings models can get quite large, there is also a SQLite version that lazily loads vectors.
from staticvectors import StaticVectors
model = StaticVectors("neuml/glove-2024-dolma/model.sqlite")
model.embeddings(["word"])
- Task
- Sentence Similarity
- Library
- staticvectors
- Type
- staticvectors
- License
- pddl
- Languages
- en
- Created
- Jul 29, 2025
- Updated
- Jul 29, 2025