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
Download rng_state_24.pth from Formbench-anon/qwen3-embed-formbench-mnrl: direct link, hf CLI and curl.
- Browser
- Download file 15.9 kB
-
https://huggingface.co/Formbench-anon/qwen3-embed-formbench-mnrl/resolve/main/rng_state_24.pth
- Command line
-
hf download hf://Formbench-anon/qwen3-embed-formbench-mnrl/rng_state_24.pth
-
curl -L -o rng_state_24.pth https://huggingface.co/Formbench-anon/qwen3-embed-formbench-mnrl/resolve/main/rng_state_24.pth
15.9 kB
- Xet hash:
- 26e2d4d7849dfa9acefb5a7048a5fae1a0d4e75a4f24c9a5648b708b1c4c4870
- Size of remote file:
- 15.9 kB
- SHA256:
- 00045e4ed5bf933579393fbee541d3106c0a8033ec4c898d3af3b3556f03f95d
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