Sentence Similarity
sentence-transformers
Safetensors
English
modernbert
feature-extraction
patent
embeddings
mteb
text-embeddings-inference
Instructions to use datalyes/patembed-base_long_4096 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use datalyes/patembed-base_long_4096 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("datalyes/patembed-base_long_4096") 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
Delete model_info.json
Browse files- model_info.json +0 -15
model_info.json
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{
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"display_name": "patembed-base_long_4096",
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"source_folder": "train_v4/runs/gte-modernbert-base-20250924_220257-2d2f10_len_4096_asym_prompt_all_5e5_bs_32_ga4_bs_nd",
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"source_path": "/media/iayaou01/Extreme SSD/patembed_artifacts/patembed_release_bundle/train_v4/runs/gte-modernbert-base-20250924_220257-2d2f10_len_4096_asym_prompt_all_5e5_bs_32_ga4_bs_nd",
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"output_path": "/media/iayaou01/Extreme SSD/patembed_artifacts/patembed_release_bundle/models_for_release/patembed-base_long_4096",
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"specifications": {
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"params": "149M",
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"layers": 22,
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"hidden_size": 768,
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"embedding_dim": 768,
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"base_model": "gte-modernbert-base with extended context",
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"max_seq_length": 4096,
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"description": "Extended context variant initialized from gte-modernbert-base with 4096-token context window."
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}
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}
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