Instructions to use HIT-TMG/JevEmbed-Qwen3-Embedding-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use HIT-TMG/JevEmbed-Qwen3-Embedding-4B with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("HIT-TMG/JevEmbed-Qwen3-Embedding-4B") 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
Download jevembed.yaml from HIT-TMG/JevEmbed-Qwen3-Embedding-4B: direct link, hf CLI and curl.
- Browser
- Download file 821 Bytes
-
https://huggingface.co/HIT-TMG/JevEmbed-Qwen3-Embedding-4B/resolve/main/jevembed.yaml
- Command line
-
hf download hf://HIT-TMG/JevEmbed-Qwen3-Embedding-4B/jevembed.yaml
-
curl -L -o jevembed.yaml https://huggingface.co/HIT-TMG/JevEmbed-Qwen3-Embedding-4B/resolve/main/jevembed.yaml
821 Bytes
| model_id: jevembed-qwen3-embedding-4b | |
| backend: sentence_transformers | |
| model_name_or_path: HIT-TMG/JevEmbed-Qwen3-Embedding-4B | |
| aliases: | |
| - HIT-TMG/JevEmbed-Qwen3-Embedding-4B | |
| - JevEmbed-Qwen3-Embedding-4B | |
| trust_remote_code: false | |
| local_files_only: false | |
| device: auto | |
| dtype: auto | |
| batch_size: 8 | |
| pooling: model_default | |
| normalize_embeddings: true | |
| expected_dimension: 2560 | |
| max_input_tokens: 1024 | |
| overflow_policy: truncate | |
| attention_implementation: sdpa | |
| prompts: | |
| query_template: 'Instruct: {instruction} | |
| Query: {text}' | |
| document_template: '{text}' | |
| similarity_instruction: Retrieve semantically similar text. | |
| scoring: | |
| choice_temperature: 0.1 | |
| score_temperature: 0.1 | |
| noul_with_criteria: | |
| slope: 10.0 | |
| intercept: 0.0 | |
| noul_without_criteria: | |
| slope: 10.0 | |
| intercept: 0.0 | |
| calibration_status: uncalibrated | |