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README.md
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## Model Description
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## Installation
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from wsl.inference.data.objects import WSLOutput
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wsl_model = WSL.from_pretrained("Babelscape/wsl-base")
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```
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WSLOutput(
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## Model Description
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We introduce the task of Word Sense Linking (WSL), which focuses on accurately mapping spans of text to their most appropriate senses using a reference inventory. The Word Sense Linking model is designed to identify and disambiguate spans of text to their most suitable senses from a reference inventory. The annotations are provided as sense keys from WordNet, a large lexical database of English.
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## Installation
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from wsl.inference.data.objects import WSLOutput
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wsl_model = WSL.from_pretrained("Babelscape/wsl-base")
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wsl_out: WSLOutput = wsl_model("Bus drivers drive busses for a living.")
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```
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WSLOutput(
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