Feature Extraction
sentence-transformers
Safetensors
gemma3_text
retrieval
devdata-search
text-embeddings-inference
Instructions to use ai4data/devdata-search-harrier-270m-cmnrl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ai4data/devdata-search-harrier-270m-cmnrl with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ai4data/devdata-search-harrier-270m-cmnrl") 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
| { | |
| "__version__": { | |
| "pytorch": "2.12.0+cu130", | |
| "sentence_transformers": "5.5.1", | |
| "transformers": "5.12.0" | |
| }, | |
| "default_prompt_name": null, | |
| "model_type": "SentenceTransformer", | |
| "prompts": { | |
| "bitext_query": "Instruct: Retrieve parallel sentences\nQuery: ", | |
| "document": "", | |
| "query": "", | |
| "sts_query": "Instruct: Retrieve semantically similar text\nQuery: ", | |
| "web_search_query": "Instruct: Given a web search query, retrieve relevant passages that answer the query\nQuery: " | |
| }, | |
| "similarity_fn_name": "cosine" | |
| } |