Update README.md
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README.md
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@@ -76,9 +76,9 @@ def infer(txt: Union[str, List[str]]):
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# Inportant: take only last token!
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return embedding.get('last_hidden_state')[:,-1,:].numpy()
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list_of_contexts = [...]
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emb_contexts = infer(list_of_contexts)
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list_of_queries = [...]
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emb_queries = infer(list_of_queries)
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# Important: take cosine distance!
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@@ -104,9 +104,9 @@ retriever = pipeline('feature-extraction', 'cmarkea/bloomz-560m-retriever-v2')
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# Inportant: take only last token!
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infer = lambda x: [ii[0][-1] for ii in retriever(x)]
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list_of_contexts = [...]
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emb_contexts = np.concatenate(infer(list_of_contexts), axis=0)
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list_of_queries = [...]
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emb_queries = np.concatenate(infer(list_of_queries), axis=0)
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# Important: take cosine distance!
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# Inportant: take only last token!
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return embedding.get('last_hidden_state')[:,-1,:].numpy()
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list_of_contexts: List[str] = [...]
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emb_contexts = infer(list_of_contexts)
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list_of_queries: List[str] = [...]
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emb_queries = infer(list_of_queries)
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# Important: take cosine distance!
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# Inportant: take only last token!
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infer = lambda x: [ii[0][-1] for ii in retriever(x)]
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list_of_contexts: List[str] = [...]
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emb_contexts = np.concatenate(infer(list_of_contexts), axis=0)
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list_of_queries: List[str] = [...]
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emb_queries = np.concatenate(infer(list_of_queries), axis=0)
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# Important: take cosine distance!
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