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 infinity-preparation.json from michaelfeil/zembed-1-infinity: direct link, hf CLI and curl.
- Browser
- Download file 656 Bytes
-
https://huggingface.co/michaelfeil/zembed-1-infinity/resolve/main/infinity-preparation.json
- Command line
-
hf download hf://michaelfeil/zembed-1-infinity/infinity-preparation.json
-
curl -L -o infinity-preparation.json https://huggingface.co/michaelfeil/zembed-1-infinity/resolve/main/infinity-preparation.json
656 Bytes
| { | |
| "source": "zeroentropy/zembed-1-embedding", | |
| "revision": "cf13c81f3274394053d166740294f7eea4586f7a", | |
| "changes": { | |
| "modules.json": "Replace ZembedTransformer with standard Transformer; client supplies original terminal suffix." | |
| }, | |
| "required_input_suffix": "<|im_end|>\n", | |
| "output_dimensions": 2560, | |
| "weight_sha256": { | |
| "model-00001-of-00002.safetensors": "630bc6ead0804903296b264bf536b0859702605cfbb89e58e2d2887ccce9ee6c", | |
| "model-00002-of-00002.safetensors": "6cb060593bbad76139ac9ae8614a7711406225e464254fc453b7ae1787b56325", | |
| "projections.safetensors": "c2857f09a857d564c78224cdc7baa763773fa96475dd7b9b29d598756b61d083" | |
| } | |
| } | |