Sentence Similarity
sentence-transformers
Safetensors
English
modernbert
feature-extraction
Generated from Trainer
dataset_size:79876
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use Master-thesis-NAP/ModernBERT-DAPT-Embed-DAPT-Math-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Master-thesis-NAP/ModernBERT-DAPT-Embed-DAPT-Math-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Master-thesis-NAP/ModernBERT-DAPT-Embed-DAPT-Math-v2") sentences = [ "What is the error estimate for the difference between the exact solution and the local oscillation decomposition (LOD) solution in terms of the $L_0$ norm?", "\\label{thm1}\nSuppose $\\kappa$ and $\\bar a$ are as above. Then $|\\Pcut(\\bar a)| \\leq 2^\\kappa$. Indeed if\n$2^\\kappa=\\aleph_\\alpha,$ then $|\\Pcut(\\bar a)| \\leq |\\alpha+1|^2$.", "\\cite{kyushu}\n For every discrete group $\\G$ and every 2-dimensional representation $\\varrho$ of $\\G$, $\\varrho-$equivariant functions for $\\G$ always exist.", "\\label{Corollary}\n Let Assumptions~\\ref{assum_1} and~\\ref{assump2} be satisfied. Let $u$ be the solution of~\\eqref{WeakForm} and let $u_{H,k}$ be the LOD solution of~\\eqref{local_probelm }. Then we have \n \\begin{equation}\\label{L2Estimate}\n \\|u-I_Hu_{H,k}\\|_0\\lesssim \\|u-I_Hu\\|_0+\\|u-u_{H,k}\\|_0 +H|u-u_{H,k}|_1.\n \\end{equation}\n %\\[\\|u-I_Hu_{H,k}\\|_0\\lesssim H |u|_1 +|u-u_{H,k}|_1.\\]" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Download 1_Pooling/config.json from Master-thesis-NAP/ModernBERT-DAPT-Embed-DAPT-Math-v2: direct link, hf CLI and curl.
- Browser
- Download file 296 Bytes
-
https://huggingface.co/Master-thesis-NAP/ModernBERT-DAPT-Embed-DAPT-Math-v2/resolve/main/1_Pooling/config.json
- Command line
-
hf download hf://Master-thesis-NAP/ModernBERT-DAPT-Embed-DAPT-Math-v2/1_Pooling/config.json
-
curl -L -o config.json https://huggingface.co/Master-thesis-NAP/ModernBERT-DAPT-Embed-DAPT-Math-v2/resolve/main/1_Pooling/config.json
296 Bytes
| { | |
| "word_embedding_dimension": 768, | |
| "pooling_mode_cls_token": false, | |
| "pooling_mode_mean_tokens": true, | |
| "pooling_mode_max_tokens": false, | |
| "pooling_mode_mean_sqrt_len_tokens": false, | |
| "pooling_mode_weightedmean_tokens": false, | |
| "pooling_mode_lasttoken": false, | |
| "include_prompt": true | |
| } |