Sentence Similarity
sentence-transformers
PyTorch
ONNX
Safetensors
Transformers
Transformers.js
English
nomic_bert
feature-extraction
mteb
custom_code
Eval Results (legacy)
text-embeddings-inference
Instructions to use inesaltemir/MNLP_M2_document_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use inesaltemir/MNLP_M2_document_encoder with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("inesaltemir/MNLP_M2_document_encoder", trust_remote_code=True) 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] - Transformers
How to use inesaltemir/MNLP_M2_document_encoder with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("inesaltemir/MNLP_M2_document_encoder", trust_remote_code=True) model = AutoModel.from_pretrained("inesaltemir/MNLP_M2_document_encoder", trust_remote_code=True) - Transformers.js
How to use inesaltemir/MNLP_M2_document_encoder with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('sentence-similarity', 'inesaltemir/MNLP_M2_document_encoder'); - Notebooks
- Google Colab
- Kaggle
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- Nomic: [https://nomic.ai](https://nomic.ai)
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- Discord: [https://discord.gg/myY5YDR8z8](https://discord.gg/myY5YDR8z8)
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- Twitter: [https://twitter.com/nomic_ai](https://twitter.com/nomic_ai)
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- Nomic: [https://nomic.ai](https://nomic.ai)
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- Discord: [https://discord.gg/myY5YDR8z8](https://discord.gg/myY5YDR8z8)
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- Twitter: [https://twitter.com/nomic_ai](https://twitter.com/nomic_ai)
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# Citation
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If you find the model, dataset, or training code useful, please cite our work
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```bibtex
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@misc{nussbaum2024nomic,
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title={Nomic Embed: Training a Reproducible Long Context Text Embedder},
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author={Zach Nussbaum and John X. Morris and Brandon Duderstadt and Andriy Mulyar},
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year={2024},
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eprint={2402.01613},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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