Feature Extraction
sentence-transformers
Safetensors
English
multilingual
qwen3
text-embeddings-inference
infinity
Instructions to use michaelfeil/zembed-1-infinity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use michaelfeil/zembed-1-infinity with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("michaelfeil/zembed-1-infinity") 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 sentence_bert_config.json from michaelfeil/zembed-1-infinity: direct link, hf CLI and curl.
- Browser
- Download file 55 Bytes
-
https://huggingface.co/michaelfeil/zembed-1-infinity/resolve/main/sentence_bert_config.json
- Command line
-
hf download hf://michaelfeil/zembed-1-infinity/sentence_bert_config.json
-
curl -L -o sentence_bert_config.json https://huggingface.co/michaelfeil/zembed-1-infinity/resolve/main/sentence_bert_config.json
55 Bytes
| { | |
| "max_seq_length": 32768, | |
| "do_lower_case": false | |
| } |