[Bug] flames的flames-scorer无法正确加载

Prerequisite

• I have searched Issues and Discussions but cannot get the expected help.
• The bug has not been fixed in the latest version.

Type

I'm evaluating with the officially supported tasks/models/datasets.

Environment

无

Reproduces the problem - code/configuration sample

config:
仿照configs/eval_internlm_flames_chat.py
judge_models = [
dict(
type=HuggingFaceCausalLM,
abbr='flames-scorer',
path='opencompass/models/flames-scorer',
tokenizer_path='opencompass/models/flames-scorer',
model_kwargs=dict(
trust_remote_code=True,
device_map='auto',
),
tokenizer_kwargs=dict(
padding_side='left',
truncation_side='left',
use_fast=False,
trust_remote_code=True,
),
max_out_len=2048,
max_seq_len=2048,
batch_size=1,
meta_template=_meta_template,
run_cfg=dict(num_gpus=1, num_procs=1),
end_str='<|im_end|>',
generation_kwargs = {"eos_token_id": [2, 92542], "do_sample": True},
batch_padding=True,
)
]

Reproduces the problem - command or script

无

Reproduces the problem - error message

Traceback (most recent call last):
File "/mnt/data/Codes/opencompass/opencompass/tasks/subjective_eval.py", line 441, in
inferencer.run()
File "/mnt/data/Codes/opencompass/opencompass/tasks/subjective_eval.py", line 94, in run
self._score(model_cfg, dataset_cfg, eval_cfg, output_column,
File "/mnt/data/Codes/opencompass/opencompass/tasks/subjective_eval.py", line 370, in _score
icl_evaluator = ICL_EVALUATORS.build(eval_cfg['evaluator'])
File "/mnt/data/anaconda3/envs/opencompass/lib/python3.10/site-packages/mmengine/registry/registry.py", line 570, in build
return self.build_func(cfg, *args, **kwargs, registry=self)
File "/mnt/data/anaconda3/envs/opencompass/lib/python3.10/site-packages/mmengine/registry/build_functions.py", line 121, in build_from_cfg
obj = obj_cls(**args) # type: ignore
File "/mnt/data/Codes/opencompass/opencompass/openicl/icl_evaluator/lm_evaluator.py", line 107, in init
model = build_model_from_cfg(model_cfg=judge_cfg)
File "/mnt/data/Codes/opencompass/opencompass/utils/build.py", line 25, in build_model_from_cfg
return MODELS.build(model_cfg)
File "/mnt/data/anaconda3/envs/opencompass/lib/python3.10/site-packages/mmengine/registry/registry.py", line 570, in build
return self.build_func(cfg, *args, **kwargs, registry=self)
File "/mnt/data/anaconda3/envs/opencompass/lib/python3.10/site-packages/mmengine/registry/build_functions.py", line 121, in build_from_cfg
obj = obj_cls(**args) # type: ignore
File "/mnt/data/Codes/opencompass/opencompass/models/huggingface.py", line 118, in init
self._load_tokenizer(path=path,
File "/mnt/data/Codes/opencompass/opencompass/models/huggingface.py", line 134, in _load_tokenizer
self.tokenizer = AutoTokenizer.from_pretrained(
File "/mnt/data/anaconda3/envs/opencompass/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py", line 842, in from_pretrained
raise ValueError(
ValueError: Unrecognized configuration class <class 'transformers_modules.flames-scorer.configuration_internlm.InternLMConfig'> to build an AutoTokenizer.
Model type should be one of AlbertConfig, AlignConfig, BarkConfig, BartConfig, BertConfig, BertGenerationConfig, BigBirdConfig, BigBirdPegasusConfig, BioGptConfig, BlenderbotConfig, BlenderbotSmallConfig, BlipConfig, Blip2Config, BloomConfig, BridgeTowerConfig, BrosConfig, CamembertConfig, CanineConfig, ChineseCLIPConfig, ClapConfig, CLIPConfig, CLIPSegConfig, ClvpConfig, LlamaConfig, CodeGenConfig, ConvBertConfig, CpmAntConfig, CTRLConfig, Data2VecAudioConfig, Data2VecTextConfig, DebertaConfig, DebertaV2Config, DistilBertConfig, DPRConfig, ElectraConfig, ErnieConfig, ErnieMConfig, EsmConfig, FalconConfig, FastSpeech2ConformerConfig, FlaubertConfig, FNetConfig, FSMTConfig, FunnelConfig, GitConfig, GPT2Config, GPT2Config, GPTBigCodeConfig, GPTNeoConfig, GPTNeoXConfig, GPTNeoXJapaneseConfig, GPTJConfig, GPTSanJapaneseConfig, GroupViTConfig, HubertConfig, IBertConfig, IdeficsConfig, InstructBlipConfig, JukeboxConfig, Kosmos2Config, LayoutLMConfig, LayoutLMv2Config, LayoutLMv3Config, LEDConfig, LiltConfig, LlamaConfig, LlavaConfig, LongformerConfig, LongT5Config, LukeConfig, LxmertConfig, M2M100Config, MarianConfig, MBartConfig, MegaConfig, MegatronBertConfig, MgpstrConfig, MistralConfig, MixtralConfig, MobileBertConfig, MPNetConfig, MptConfig, MraConfig, MT5Config, MusicgenConfig, MvpConfig, NezhaConfig, NllbMoeConfig, NystromformerConfig, OneFormerConfig, OpenAIGPTConfig, OPTConfig, Owlv2Config, OwlViTConfig, PegasusConfig, PegasusXConfig, PerceiverConfig, PersimmonConfig, PhiConfig, Pix2StructConfig, PLBartConfig, ProphetNetConfig, QDQBertConfig, Qwen2Config, RagConfig, RealmConfig, ReformerConfig, RemBertConfig, RetriBertConfig, RobertaConfig, RobertaPreLayerNormConfig, RoCBertConfig, RoFormerConfig, RwkvConfig, SeamlessM4TConfig, SeamlessM4Tv2Config, SiglipConfig, Speech2TextConfig, Speech2Text2Config, SpeechT5Config, SplinterConfig, SqueezeBertConfig, SwitchTransformersConfig, T5Config, TapasConfig, TransfoXLConfig, TvpConfig, UMT5Config, ViltConfig, VipLlavaConfig, VisualBertConfig, VitsConfig, Wav2Vec2Config, Wav2Vec2BertConfig, Wav2Vec2ConformerConfig, WhisperConfig, XCLIPConfig, XGLMConfig, XLMConfig, XLMProphetNetConfig, XLMRobertaConfig, XLMRobertaXLConfig, XLNetConfig, XmodConfig, YosoConfig.
[2024-06-25 17:10:32,911] torch.distributed.elastic.multiprocessing.api: [ERROR] failed (exitcode: 1) local_rank: 0 (pid: 717540) of binary: /mnt/data/anaconda3/envs/opencompass/bin/python

Other information

根据官方(https://huggingface.co/CaasiHUANG/flames-scorer)的model card，似乎要通过
from tokenization_internlm import InternLMTokenizer
from modeling_internlm import InternLMForSequenceClassification

tokenizer = InternLMTokenizer.from_pretrained("CaasiHUANG/flames-scorer", trust_remote_code=True)
model = InternLMForSequenceClassification.from_pretrained("CaasiHUANG/flames-scorer", trust_remote_code=True)
才能加载