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README.md
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@@ -137,57 +137,6 @@ model.run([text], labels, threshold=0.3, num_gen_sequences=1)
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### Example Output
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```json
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[
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[
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{
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"start": 21,
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"end": 26,
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"text": "Apple",
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"label": "company",
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"score": 0.6795641779899597,
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"generated labels": ["Organization"]
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},
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{
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"start": 47,
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"end": 60,
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"text": "April 1, 1976",
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"label": "time",
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"score": 0.44296327233314514,
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"generated labels": ["Date"]
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},
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{
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"start": 65,
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"end": 78,
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"text": "Steve Wozniak",
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"label": "person",
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"score": 0.9934439659118652,
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"generated labels": ["Person"]
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},
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{
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"start": 80,
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"end": 90,
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"text": "Steve Jobs",
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"label": "person",
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"score": 0.9725918769836426,
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"generated labels": ["Person"]
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},
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{
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"start": 107,
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"end": 119,
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"text": "Ronald Wayne",
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"label": "person",
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"score": 0.9964536428451538,
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"generated labels": ["Person"]
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}
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]
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]
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```
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---
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### Restricting the Decoder
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You can limit the decoder to generate labels only from a predefined set:
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### Restricting the Decoder
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You can limit the decoder to generate labels only from a predefined set:
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