Feature Extraction
sentence-transformers
Safetensors
English
fusion-embedding-connector
embeddings
multimodal
audio
retrieval
matryoshka
qwen3-vl
adapters
custom_code
Instructions to use EximiusLabs/fusion-embedding-2-2b-preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use EximiusLabs/fusion-embedding-2-2b-preview with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("EximiusLabs/fusion-embedding-2-2b-preview", trust_remote_code=True) sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Card: note the integration files are on the kw-preview branch too
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README.md
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### Notes
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- Revisions: the integration files are on `main`, which is what loads when no
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`revision=` is given
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the
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- Each input item is a single modality; embed each modality in its own `encode` call
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(the shared space makes the vectors directly comparable). Fused multi-modality items
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(for example `{"text": ..., "audio": ...}` in one dict) are not part of the released
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### Notes
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- Revisions: the integration files are on `main`, which is what loads when no
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`revision=` is given, and on the `v0.3-kw-preview` branch, so both the flagship and
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the keyword-tuned model load through Sentence Transformers. The immutable release
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tags, `v0.3-preview` among them, predate the integration and do not carry these
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files, so the `revision=` pin shown in the `inference.py` example above does not
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apply here. `main` carries the same flagship checkpoint as `v0.3-preview`. For a
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reproducible load, pin the commit hash of a revision that carries the integration
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files.
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- Each input item is a single modality; embed each modality in its own `encode` call
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(the shared space makes the vectors directly comparable). Fused multi-modality items
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(for example `{"text": ..., "audio": ...}` in one dict) are not part of the released
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