tomaarsen HF staff commited on
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fa0fc71
1 Parent(s): 3f687ac

Update model id in usage snippet

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  1. README.md +1 -1
README.md CHANGED
@@ -82,7 +82,7 @@ You can then run inference with this model like so:
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  from span_marker import SpanMarkerModel
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  # Download from the 🤗 Hub
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- model = SpanMarkerModel.from_pretrained("tomaarsen/span_marker_bert_base_acronyms")
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  # Run inference
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  entities = model.predict("Compression algorithms like Principal Component Analysis (PCA) can reduce noise and complexity.")
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  ```
 
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  from span_marker import SpanMarkerModel
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  # Download from the 🤗 Hub
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+ model = SpanMarkerModel.from_pretrained("tomaarsen/span-marker-bert-base-acronyms")
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  # Run inference
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  entities = model.predict("Compression algorithms like Principal Component Analysis (PCA) can reduce noise and complexity.")
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  ```