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:
- eed3917c4ff8f19aa3b4861485ed6c69c641106a1626ef7dd6a5c84fe17f38b7
- Size of remote file:
- 6.42 kB
- SHA256:
- b10981b26ae643ecb247fe1112fb32780874b96871b3aba9e925e23f83fc44cf
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