Result of new doc style with fixes (#17015)
* Result of new doc style with fixes * Add last two files * Bump hf-doc-builder
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@@ -97,7 +97,7 @@ Example:
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>>> entities = [
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... "Beyoncé",
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... "Los Angeles",
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>>> ] # Wikipedia entity titles corresponding to the entity mentions "Beyoncé" and "Los Angeles"
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... ] # Wikipedia entity titles corresponding to the entity mentions "Beyoncé" and "Los Angeles"
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>>> entity_spans = [(0, 7), (17, 28)] # character-based entity spans corresponding to "Beyoncé" and "Los Angeles"
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>>> inputs = tokenizer(text, entities=entities, entity_spans=entity_spans, add_prefix_space=True, return_tensors="pt")
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>>> outputs = model(**inputs)
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