Sentence Similarity
sentence-transformers
PyTorch
English
qwen3
feature-extraction
formbench
patent-retrieval
chemistry
formulations
materials-science
text-embeddings-inference
Instructions to use Formbench-anon/qwen3-embed-formbench-mnrl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Formbench-anon/qwen3-embed-formbench-mnrl with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Formbench-anon/qwen3-embed-formbench-mnrl") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
| { | |
| "c1": { | |
| "status": "completed", | |
| "queued_by_job": "4376440", | |
| "started_at": "2026-04-11T00:59:45.383077", | |
| "phase1_job": "4376440", | |
| "phase1_completed_at": "2026-04-11T01:13:49.042215", | |
| "completed_at": "2026-04-11T04:34:23.512871", | |
| "metrics_path": "/lustre/orion/mat721/proj-shared/formbench_ner/experiments/results/qwen3_embed_tapt_mnrl_ckpt-54/c1/metrics.json" | |
| }, | |
| "c0": { | |
| "status": "completed", | |
| "queued_by_job": "4379903", | |
| "started_at": "2026-04-12T09:48:43.351797", | |
| "phase1_job": "4379903", | |
| "phase1_completed_at": "2026-04-12T10:01:33.986693", | |
| "completed_at": "2026-04-12T14:40:11.409233", | |
| "metrics_path": "/lustre/orion/mat721/proj-shared/formbench_ner/experiments/results/qwen3_embed_tapt_mnrl_ckpt-54/c0/metrics.json" | |
| } | |
| } |