Sentence Similarity
sentence-transformers
Safetensors
English
modernbert
ratio
retrieval
scientific-literature
text-embeddings-inference
Instructions to use maayans/modernbert-embed-large__ratio-address with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use maayans/modernbert-embed-large__ratio-address with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("maayans/modernbert-embed-large__ratio-address") 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
Upload folder using huggingface_hub
Browse files- model.safetensors +1 -1
- tokenizer.json +1 -1
- tokenizer_config.json +1 -1
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 1579143688
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version https://git-lfs.github.com/spec/v1
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oid sha256:b50fb0e34df58f6059c462d4b9075f6a5857b7bffc33db03b9263dfe270b4831
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size 1579143688
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tokenizer.json
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"version": "1.0",
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"truncation": {
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"direction": "Right",
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"max_length":
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"strategy": "LongestFirst",
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"stride": 0
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},
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"version": "1.0",
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"truncation": {
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"direction": "Right",
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"max_length": 8192,
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"strategy": "LongestFirst",
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"stride": 0
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},
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tokenizer_config.json
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"input_ids",
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"attention_mask"
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],
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"model_max_length":
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"tokenizer_class": "PreTrainedTokenizerFast",
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"input_ids",
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"attention_mask"
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],
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"model_max_length": 8192,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"tokenizer_class": "PreTrainedTokenizerFast",
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