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The base version of [roberta-base](https://huggingface.co/roberta-base) finetunned on an artificially annotated subset of C4. This model provides domain-independent embedding for Entity Recognition Task. Embeddings can be used out of the box or fine-tuned on specific datasets.
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## Usage
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The base version of [roberta-base](https://huggingface.co/roberta-base) finetunned on an artificially annotated subset of C4. This model provides domain-independent embedding for Entity Recognition Task. Embeddings can be used out of the box or fine-tuned on specific datasets.
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## Usage
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```python
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import torch
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import transformers
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model = transformers.AutoModel.from_pretrained(
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'numind/entity-recognition-general-sota-v1',
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output_hidden_states=True
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)
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tokenizer = transformers.AutoTokenizer.from_pretrained(
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'numind/entity-recognition-general-sota-v1'
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)
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text = "NuMind is an AI company based in Paris and USA."
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encoded_input = tokenizer(text, return_tensors='pt')
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output = model(**encoded_input)
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# for better quality
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emb = torch.cat(
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(output.hidden_states[-1], output.hidden_states[-7]),
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dim=2
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)
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# for better speed
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# emb = output.hidden_states[-1]
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```
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