Feature Extraction
sentence-transformers
Safetensors
Transformers
qwen3
text-generation
sentence-similarity
text-embeddings-inference
Instructions to use Qwen/Qwen3-Embedding-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Qwen/Qwen3-Embedding-8B with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Qwen/Qwen3-Embedding-8B") 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 Qwen/Qwen3-Embedding-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Qwen/Qwen3-Embedding-8B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3-Embedding-8B") model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-Embedding-8B", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
dimensions not working it always generates 4096
#20
by khanakia - opened
No matter what dimensions I add, it always generates an embedding with 4096 dimensions
curl http://127.0.0.1:1234/v1/embeddings \
-H "Content-Type: application/json" \
-d '{
"model": "text-embedding-qwen3-embedding-8b",
"input": "Some text to embed",
"dimensions": 32
}'