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[CI/Build] Bump transformers version (#27528)

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Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
Signed-off-by: Isotr0py <mozf@mail2.sysu.edu.cn>
Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
Co-authored-by: Isotr0py <mozf@mail2.sysu.edu.cn>
Co-authored-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
This commit is contained in:
Cyrus Leung
2025-11-01 13:11:07 +08:00
committed by GitHub
parent 29de3cdee4
commit 879a06579e
9 changed files with 17 additions and 17 deletions
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4
vllm/model_executor/models/moonvit.py
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@@ -49,7 +49,7 @@ from functools import cached_property
import torch
import torch.nn as nn
import torch.nn.functional as F
from transformers.activations import ACT2FN, PytorchGELUTanh
from transformers.activations import ACT2FN
from transformers.modeling_utils import PreTrainedModel
from transformers.utils import is_flash_attn_2_available
@@ -651,7 +651,7 @@ class MoonVitPretrainedModel(PreTrainedModel):
"num_heads": config.num_attention_heads,
"hidden_dim": config.hidden_size,
"mlp_dim": config.intermediate_size,
"activation": PytorchGELUTanh(),
"activation": ACT2FN["gelu_pytorch_tanh"],
"attn_bias": True,
"attn_implementation": config._attn_implementation,
},

6
vllm/model_executor/models/qwen2_vl.py
View File

@@ -34,7 +34,7 @@ import torch
import torch.nn as nn
import torch.nn.functional as F
from einops import rearrange, repeat
from transformers import AutoConfig, BatchFeature, PretrainedConfig
from transformers import BatchFeature, PretrainedConfig
from transformers.models.qwen2_vl import Qwen2VLImageProcessor, Qwen2VLProcessor
from transformers.models.qwen2_vl.configuration_qwen2_vl import (
Qwen2VLConfig,
@@ -1651,9 +1651,7 @@ class Tarsier2Processor(Qwen2VLProcessor):
class Tarsier2ProcessingInfo(Qwen2VLProcessingInfo):
def get_hf_config(self) -> Qwen2VLConfig:
model_path = self.ctx.model_config.model
original_config = AutoConfig.from_pretrained(model_path)
config_dict = original_config.to_dict()
correct_config = Qwen2VLConfig.from_dict(config_dict)
correct_config = Qwen2VLConfig.from_pretrained(model_path)
return correct_config