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README.md
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- entity-recognition
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- generic
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- feature-extraction
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---
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-
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[Roberta-base](https://huggingface.co/roberta-base) finetunned on an artificially annotated subset of [C4](https://huggingface.co/datasets/c4). This model provides domain-independent embedding for Entity Recognition Task.
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## Usage
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# for better speed
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# emb = output.hidden_states[-1]
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```
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- entity-recognition
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- generic
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- feature-extraction
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- foundation-model
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---
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# NuMind Entity Recognition V1 foundation model 🔥
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This model provides the best embedding for the Entity Recognition task.
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**Checkout other models by NuMind:**
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* SOTA multilingual Entity Recognition foundation model: [link](https://huggingface.co/numind/entity-recognition-multilingual-general-sota-v1)
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* SOTA Sentiment Analysis foundation model: [English](https://huggingface.co/numind/generic-sentiment-v1), [Multilingual](https://huggingface.co/numind/generic-sentiment-multi-v1)
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## About
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[Roberta-base](https://huggingface.co/roberta-base) fine-tuned on an artificially annotated subset of [C4](https://huggingface.co/datasets/c4).
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**Results:**
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## Usage
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# for better speed
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# emb = output.hidden_states[-1]
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```
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## Contact
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Sergei Bogdanov: [email protected]
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