Tensor Indexing
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Tensor Indexing has 3 facts recorded in Dontopedia across 2 references.
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abstractsAbstracts(1)
- Tensor Dataset
ex:TensorDataset
rdf:typeRdf:type(1)
- First Token Selection
ex:first-token-selection
Other facts (3)
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| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Indexing Operation | [1] |
| Extracts First Token | Last Hidden State | [1] |
| Uses | zero-index | [2] |
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References (2)
ctx:claims/beam/af659f61-d237-4091-a8b5-4a63d8ff2fae- full textbeam-chunktext/plain1 KB
doc:beam/af659f61-d237-4091-a8b5-4a63d8ff2faeShow excerpt
query_embeddings = model(**query_encodings)['last_hidden_state'][:, 0, :] passage_embeddings = model(**passage_encodings)['last_hidden_state'][:, 0, :] # Apply dropout query_embeddings = dropout(query_embedd…
ctx:claims/beam/eb869acc-2b0a-4006-98fb-a7f182c6bf42- full textbeam-chunktext/plain1 KB
doc:beam/eb869acc-2b0a-4006-98fb-a7f182c6bf42Show excerpt
reformulated_queries = [model.generate(tokenizer(f"reformulate: {q}", return_tensors="pt", max_length=512, truncation=True)['input_ids'], max_length=512)[0] for q in original_queries] reformulated_texts = [tokenizer.decode(output, skip_spec…
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