Feature Extraction
sentence-transformers
Safetensors
PEFT
English
sentence-similarity
lora
embedding
retrieval
rag
Instructions to use DinoStackAI/Qwen3-Emb-4b-lora-ctx-qasper 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-qasper with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("DinoStackAI/Qwen3-Emb-4b-lora-ctx-qasper") 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-qasper with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8905547cf8b9e8d334182c1d29256752292385ff2da4fc5ae74c9b6b563a097b
- Size of remote file:
- 11.4 MB
- SHA256:
- d8f554a995c1bfaf000d8307fbef307e1d1ad0a24ed0a58b82c667460edbf444
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