Sentence Similarity
sentence-transformers
Safetensors
nomic_bert
feature-extraction
custom_code
text-embeddings-inference
Instructions to use nomic-ai/nomic-embed-text-v2-moe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use nomic-ai/nomic-embed-text-v2-moe with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("nomic-ai/nomic-embed-text-v2-moe", trust_remote_code=True) sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
📋 Documentation Enhancement Suggestion
#26 opened 4 months ago
by
CroviaTrust
Not offline friendly?
👍 1
#25 opened 6 months ago
by
trap-exit
Question about Context window size + Architectural Choices
#24 opened 8 months ago
by
michaelcombs28
Inquiry about model license
#23 opened 11 months ago
by
zenithink
How to use vllm for model inference?
#21 opened about 1 year ago
by
liuliuliuliuliuliuliuliu
Inferencing with SentenceTransformer leads to IndexError: map::at Error
4
#20 opened about 1 year ago
by
AshokRaja
Support this model architecture for optimum onnx export
👀 3
4
#19 opened about 1 year ago
by
AshokRaja
Fine tuning in Multiple hard negatives
#12 opened over 1 year ago
by
wilfoderek