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jina-bert-flash-implementation

Transformers
bert
custom_code
Inference Endpoints
🇪🇺 Region: EU
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18
jina-bert-flash-implementation / modeling_bert.py

Commit History

feat: added back option not to use flash attention
d4d5621

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feat: support gradient checkpointing
75d7a16

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removed unused imports
5e7b835

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removed __init__ from BertPretrainedModel
44fd417

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added config_class and base_model_prefix
45b2292

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Fixed typo
80472cb

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Fixed typo
6fb6577

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Try to subclass PretrainedModel
e209593

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Try to subclass PretrainedModel
2b23340

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strict=True for debugging
a0c289c

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try to simplify checkpointing
4c68a4c

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removed debugging
c2d8dc3

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debugging
c4185ce

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debugging
a1e1eff

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debugging assertion
4d2995d

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fix: fixed get_input_embeddings method
7e06371

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feat: added get_input_embeddings method to BertForPreTraining
bb281f0

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feat: fixed _from_config
18eed80

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removed from_config
0ce78aa

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fix: try to get from_config to work
871fd36

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feat: added from_config, also pass additional kwargs from config to model
4164fd6

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feat: updated modeling_bert.py to allow MLM-only training
0f43653

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feat: reverted monkey patch
3160695

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feat: try to monkey-patch index_first_axis
ed92835

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feat: try to fix compilation
03d8e7c

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feat: added debug print
63832b9

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feat: updated .to() override to handle kwargs
e86d612

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Revert "feat updated debug pring"
a62c2ab

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feat updated debug pring
d21ee1b

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fix: try to fix .to(torch.float16) with ALiBi
adf376f

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Revert "feat: added back option to disable flash attention"
b7ee9c4

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feat: added back option to disable flash attention
a2c07ba

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fix: always use flash attention
bfc0b2d

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fix: fix typo
fde927f

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fix: try to fix AutoModel.from_config
318cbce

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fix: try to fix AutoModel.from_pretrained
4c4f805

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fix: try to fix import error
8c27502

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feat: added top-level docstring, made it compatible with AutoModel
f8b62b4

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initial commit
87b642a

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