Feature Extraction
sentence-transformers
Safetensors
Transformers
qwen3_pseudo_moe
sentence-similarity
custom_code
Instructions to use geevec-ai/geevec-embeddings-1.0-lite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use geevec-ai/geevec-embeddings-1.0-lite with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("geevec-ai/geevec-embeddings-1.0-lite", 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] - Transformers
How to use geevec-ai/geevec-embeddings-1.0-lite with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="geevec-ai/geevec-embeddings-1.0-lite", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("geevec-ai/geevec-embeddings-1.0-lite", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload README.md with huggingface_hub
Verified signature3c6073d
-
Upload README.md with huggingface_hub
Verified signaturee6185c8
-
Upload imgs/MMTEB_MULTILINGUAL_v2.png with huggingface_hub
Verified signature27dacd1
-
Upload imgs/BRIGHT.png with huggingface_hub
Verified signature31d0020 -
Upload imgs/BRIGHT.png with huggingface_hub
Verified signature8f92f67
-
Update README.md
Verified signaturee62d287 -
Upload folder using huggingface_hub
Verified signature64253c3 -
initial commit
Verified signaturee99af80