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remove incorrect urls pointing to the llava repository #31107

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merged 5 commits into from
Jul 2, 2024
Merged

remove incorrect urls pointing to the llava repository #31107

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a5646a7
remove incorrect urls pointing to the llava repository
BiliBraker May 29, 2024
4877e72
Merge branch 'huggingface:main' into remove-llava-urls
BiliBraker May 30, 2024
051d147
remove incorrect urls pointing to the llava repository; removing enti…
BiliBraker May 30, 2024
7c315ff
remove incorrect urls pointing to the llava repository; removing enti…
BiliBraker Jun 29, 2024
c669838
ran fixup
BiliBraker Jul 2, 2024
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3 changes: 0 additions & 3 deletions src/transformers/models/idefics2/modeling_idefics2.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1344,9 +1344,6 @@ class Idefics2PreTrainedModel(PreTrainedModel):
_supports_cache_class = True

def _init_weights(self, module):
# important: this ported version of Idefics2 isn't meant for training from scratch - only
# inference and fine-tuning - so the proper init weights code has been removed - the original codebase
# https://github.com/haotian-liu/LLaVA/tree/main/idefics2 should serve for that purpose
std = (
self.config.text_config.initializer_range
if hasattr(self.config, "initializer_range")
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3 changes: 0 additions & 3 deletions src/transformers/models/llava_next/modeling_llava_next.py
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Expand Up @@ -234,9 +234,6 @@ class LlavaNextPreTrainedModel(PreTrainedModel):
_supports_flash_attn_2 = True

def _init_weights(self, module):
# important: this ported version of LlavaNext isn't meant for training from scratch - only
# inference and fine-tuning - so the proper init weights code has been removed - the original codebase
# https://github.com/haotian-liu/LLaVA/tree/main/llava_next should serve for that purpose
std = (
self.config.initializer_range
if hasattr(self.config, "initializer_range")
Expand Down
3 changes: 0 additions & 3 deletions src/transformers/models/video_llava/modeling_video_llava.py
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Expand Up @@ -129,9 +129,6 @@ class VideoLlavaPreTrainedModel(PreTrainedModel):
_no_split_modules = ["VideoLlavaVisionAttention"]

def _init_weights(self, module):
# important: this ported version of VideoLlava isn't meant for training from scratch - only
# inference and fine-tuning - so the proper init weights code has been removed - the original codebase
# https://github.com/haotian-liu/LLaVA/tree/main/video_llava should serve for that purpose
std = (
self.config.initializer_range
if hasattr(self.config, "initializer_range")
Expand Down
3 changes: 0 additions & 3 deletions src/transformers/models/vipllava/modeling_vipllava.py
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Expand Up @@ -137,9 +137,6 @@ class VipLlavaPreTrainedModel(PreTrainedModel):
_supports_flash_attn_2 = True

def _init_weights(self, module):
# important: this ported version of VipLlava isn't meant for training from scratch - only
# inference and fine-tuning - so the proper init weights code has been removed - the original codebase
# https://github.com/haotian-liu/LLaVA/tree/main/vipllava should serve for that purpose
std = (
self.config.initializer_range
if hasattr(self.config, "initializer_range")
Expand Down