Feature Extraction
sentence-transformers
Safetensors
PEFT
English
sentence-similarity
lora
embedding
retrieval
rag
Instructions to use DinoStackAI/Qwen3-Emb-4b-lora-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-qasper with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("DinoStackAI/Qwen3-Emb-4b-lora-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-qasper with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
| { | |
| "metric_for_best_model": "eval_qasper-dev_cosine_ndcg@10", | |
| "best_model_checkpoint": "/petrobr/home/ronaldinho.olivera/E2E_RAG_FT/models/qwen3-embedding-4b-lora/qasper-b128-e10/checkpoint-120", | |
| "best_metric": 0.1366215871558261 | |
| } | |