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MNLP_M2_document_encoder

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sentence-transformers
PyTorch
ONNX
Safetensors
Transformers
Transformers.js
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nomic_bert
feature-extraction
mteb
custom_code
Eval Results (legacy)
text-embeddings-inference
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@@ -2691,3 +2691,9 @@ The model natively supports scaling of the sequence length past 2048 tokens. To
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  - model = AutoModel.from_pretrained('nomic-ai/nomic-embed-text-v1-unsupervised', trust_remote_code=True)
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  + model = AutoModel.from_pretrained('nomic-ai/nomic-embed-text-v1-unsupervised', trust_remote_code=True, rotary_scaling_factor=2)
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  ```
 
 
 
 
 
 
 
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  - model = AutoModel.from_pretrained('nomic-ai/nomic-embed-text-v1-unsupervised', trust_remote_code=True)
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  + model = AutoModel.from_pretrained('nomic-ai/nomic-embed-text-v1-unsupervised', trust_remote_code=True, rotary_scaling_factor=2)
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  ```
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+
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+ # Join the Nomic Community
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+
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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)