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[WWB]: Fixed nano-Llava preprocessor selection #1646

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merged 4 commits into from
Jan 29, 2025
Merged

[WWB]: Fixed nano-Llava preprocessor selection #1646

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b5d6d15
Fixed nano-Llava preprocessor selection
AlexKoff88 Jan 29, 2025
7597986
Merge branch 'master' into ak/nanollava_fix
AlexKoff88 Jan 29, 2025
5170705
Fixed the case when there is no model but gt and target data only
AlexKoff88 Jan 29, 2025
922dfba
Merge branch 'ak/nanollava_fix' of https://github.com/AlexKoff88/open…
AlexKoff88 Jan 29, 2025
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24 changes: 13 additions & 11 deletions tools/who_what_benchmark/whowhatbench/wwb.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@
import logging
import os

from transformers import AutoTokenizer, AutoProcessor
from transformers import AutoTokenizer, AutoProcessor, AutoConfig
import openvino as ov

import pandas as pd
Expand Down Expand Up @@ -220,17 +220,19 @@ def load_tokenizer(args):


def load_processor(args):
processor = None
if args.base_model is not None:
processor = AutoProcessor.from_pretrained(
args.base_model, trust_remote_code=True
)
elif args.target_model is not None:
processor = AutoProcessor.from_pretrained(
args.target_model, trust_remote_code=True
)
model_id = args.base_model if args.base_model is not None else args.target_model
if model_id is None:
return None

config = AutoConfig.from_pretrained(model_id, trust_remote_code=True)
if "llava-qwen" in config.model_type:
preprocessor_id = config.mm_vision_tower
else:
preprocessor_id = model_id

return processor
return AutoProcessor.from_pretrained(
preprocessor_id, trust_remote_code=True
)


def diff_strings(a: str, b: str, *, use_loguru_colors: bool = False) -> str:
Expand Down
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