Feature Extraction
sentence-transformers
Safetensors
qwen3
text-to-sql
schema-linking
retrieval
embedding
spider2
bird
text-embeddings-inference
Instructions to use thanhdath/embedding-0.6b-spider2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use thanhdath/embedding-0.6b-spider2.0 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("thanhdath/embedding-0.6b-spider2.0") 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] - Notebooks
- Google Colab
- Kaggle
| { | |
| "bos_token_id": 151643, | |
| "eos_token_id": [ | |
| 151643, | |
| 151645 | |
| ], | |
| "max_new_tokens": 2048, | |
| "transformers_version": "4.57.6" | |
| } | |