Fix docs (#8)
Browse files- Fix docs (b2812bafe593ce343c2c14f007fe4467a51981b4)
Co-authored-by: Joshua <[email protected]>
- modeling_clip.py +2 -2
modeling_clip.py
CHANGED
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@@ -410,7 +410,7 @@ class JinaCLIPModel(JinaCLIPPreTrainedModel):
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from convert_to_numpy
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device(`torch.device`, *optional*, defaults to None):
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Which torch.device to use for the computation
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-
normalize_embeddings(`bool`, *optional*, defaults to
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If set to true, returned vectors will have length 1. In that case,
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the faster dot-product (util.dot_score) instead of cosine similarity
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can be used
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@@ -545,7 +545,7 @@ class JinaCLIPModel(JinaCLIPPreTrainedModel):
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from convert_to_numpy
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device(`torch.device`, *optional*, defaults to None):
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Which torch.device to use for the computation
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| 548 |
-
normalize_embeddings(`bool`, *optional*, defaults to
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| 549 |
If set to true, returned vectors will have length 1. In that case,
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| 550 |
the faster dot-product (util.dot_score) instead of cosine similarity
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| 551 |
can be used
|
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| 410 |
from convert_to_numpy
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| 411 |
device(`torch.device`, *optional*, defaults to None):
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| 412 |
Which torch.device to use for the computation
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| 413 |
+
normalize_embeddings(`bool`, *optional*, defaults to True):
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| 414 |
If set to true, returned vectors will have length 1. In that case,
|
| 415 |
the faster dot-product (util.dot_score) instead of cosine similarity
|
| 416 |
can be used
|
|
|
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| 545 |
from convert_to_numpy
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| 546 |
device(`torch.device`, *optional*, defaults to None):
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| 547 |
Which torch.device to use for the computation
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| 548 |
+
normalize_embeddings(`bool`, *optional*, defaults to True):
|
| 549 |
If set to true, returned vectors will have length 1. In that case,
|
| 550 |
the faster dot-product (util.dot_score) instead of cosine similarity
|
| 551 |
can be used
|