Error while using the model for zero-shot-audio-classification
Hii,
Im new here, im trying to use this model with task "zero-shot-audio-classification" as shown in the example ( using pipline), but i get this error :
"Pipeline cannot infer suitable model classes from laion/clap-htsat-unfused".
this is the code i use :
audio_classifier = pipeline(task="zero-shot-audio-classification", model="laion/clap-htsat-unfused")
When i try to use the model with "feature-extraction" task , i got a longer error :
"raise ValueError(
ValueError: Unrecognized configuration class <class 'transformers.models.clap.configuration_clap.ClapConfig'> for this kind of AutoModel: TFAutoModel.
Model type should be one of AlbertConfig, BartConfig, BertConfig, BlenderbotConfig, BlenderbotSmallConfig, BlipConfig, CamembertConfig, CLIPConfig, ConvBertConfig, ConvNextConfig, ConvNextV2Config, CTRLConfig, CvtConfig, Data2VecVisionConfig, DebertaConfig, DebertaV2Config, DeiTConfig, DistilBertConfig, DPRConfig, EfficientFormerConfig, ElectraConfig, EsmConfig, FlaubertConfig, FunnelConfig, GPT2Config, GPT2Config, GPTJConfig, GroupViTConfig, HubertConfig, IdeficsConfig, LayoutLMConfig, LayoutLMv3Config, LEDConfig, LongformerConfig, LxmertConfig, MarianConfig, MBartConfig, MistralConfig, MobileBertConfig, MobileViTConfig, MPNetConfig, MT5Config, OpenAIGPTConfig, OPTConfig, PegasusConfig, RegNetConfig, RemBertConfig, ResNetConfig, RobertaConfig, RobertaPreLayerNormConfig, RoFormerConfig, SamConfig, SegformerConfig, Speech2TextConfig, SwiftFormerConfig, SwinConfig, T5Config, TapasConfig, TransfoXLConfig, VisionTextDualEncoderConfig, ViTConfig, ViTMAEConfig, Wav2Vec2Config, WhisperConfig, XGLMConfig, XLMConfig, XLMRobertaConfig, XLNetConfig.
"
Can you help me out please :)
Thank you
I am getting a similar error. Did you solve it?
This is not an issue of the model, this is an issue for transformers, and if the interfaces for the transformers api have changed, they are typically documented in the huggingface documentation.