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Add classification and NER examples to the documentation #471

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merged 5 commits into from
Dec 22, 2023
Merged

Add classification and NER examples to the documentation #471

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97f9913
Update cookbook location in the documentation
rlouf Dec 22, 2023
99c6c6d
Add named entity extraction example
rlouf Dec 22, 2023
c57994f
Add classification example
rlouf Dec 22, 2023
125eeff
Fix Quickstart examples
rlouf Dec 22, 2023
94e1813
Fix output shape of greedy sampler with batch > 1
rlouf Dec 22, 2023
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Fix output shape of greedy sampler with batch > 1
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@rlouf
rlouf committed Dec 22, 2023
commit 94e18139b9a7a414a481ec21d6b79a1c111add03
2 changes: 1 addition & 1 deletion outlines/generate/samplers.py
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Expand Up @@ -33,7 +33,7 @@ def greedy(logits: torch.DoubleTensor, samples: int, *_) -> torch.DoubleTensor:

"""
if samples == 1:
next_token_ids = torch.argmax(logits, dim=-1, keepdim=True).T
next_token_ids = torch.argmax(logits, dim=-1, keepdim=True)
else:
next_token_ids = torch.topk(
logits, samples, dim=-1, largest=True, sorted=True
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2 changes: 1 addition & 1 deletion tests/generate/test_samplers.py
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Expand Up @@ -15,7 +15,7 @@ def test_greedy():

logits = torch.tensor([[10.0, 0.0, 3.0], [-math.inf, 2.0, 5.0]])
next_token_ids = greedy(logits, samples=1)
assert next_token_ids.equal(torch.tensor([[0, 2]]))
assert next_token_ids.equal(torch.tensor([[0], [2]]))

next_token_ids = greedy(logits, samples=2)
assert next_token_ids.equal(torch.tensor([[0, 2], [2, 1]]))
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