Feature Extraction
sentence-transformers
Safetensors
PEFT
English
sentence-similarity
lora
embedding
retrieval
rag
Instructions to use DinoStackAI/Qwen3-Emb-4b-lora-ctx-narrativeqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use DinoStackAI/Qwen3-Emb-4b-lora-ctx-narrativeqa with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("DinoStackAI/Qwen3-Emb-4b-lora-ctx-narrativeqa") 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] - PEFT
How to use DinoStackAI/Qwen3-Emb-4b-lora-ctx-narrativeqa with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45a81a6e9b50f7295aed2dd66e153cbaf4f0220830bcf4cb80611a7b8202049a
- Size of remote file:
- 23.7 MB
- SHA256:
- 5e89933d82271c0d4f80d73530025d65fe00ed92375dbdc95976a975d60c2d40
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