+ œ°³jHãóx€Rt^RIHt^RIHt^RIHt^RIHt]!RR7]!RR]444t R.t R #) zRAG model configuration)Ústrict©ÚPreTrainedConfig)Úauto_docstring)Ú AutoConfigÚ)Ú checkpointcóÒaa€]tRt^toRtRtRtRtRtRt Rt Rt Rt Rt RtRt^tRtRt^tR tR tR tRtRtR tR tR tRtR tR tR tRt Rt!V3Rlt"]#V3RlRl4t$V3Rlt%Rt&Vt'V;t(#)Ú RagConfiga] prefix (`str`, *optional*): A string prefix prepended to every input before passing to the generator model. title_sep (`str`, *optional*, defaults to `" / "`): Separator inserted between the title and the text of the retrieved document when calling [`RagRetriever`]. doc_sep (`str`, *optional*, defaults to `" // "`): Separator inserted between the text of the retrieved document and the original input when calling [`RagRetriever`]. n_docs (`int`, *optional*, defaults to 5): Number of documents to retrieve. max_combined_length (`int`, *optional*, defaults to 300): Max length of contextualized input returned by [`~RagRetriever.__call__`]. retrieval_vector_size (`int`, *optional*, defaults to 768): Dimensionality of the document embeddings indexed by [`RagRetriever`]. retrieval_batch_size (`int`, *optional*, defaults to 8): Retrieval batch size, defined as the number of queries issues concurrently to the faiss index encapsulated [`RagRetriever`]. dataset (`str`, *optional*, defaults to `"wiki_dpr"`): A dataset identifier of the indexed dataset in HuggingFace Datasets (list all available datasets and ids using `datasets.list_datasets()`). dataset_split (`str`, *optional*, defaults to `"train"`): Which split of the `dataset` to load. index_name (`str`, *optional*, defaults to `"compressed"`): The index name of the index associated with the `dataset`. One can choose between `"legacy"`, `"exact"` and `"compressed"`. index_path (`str`, *optional*): The path to the serialized faiss index on disk. passages_path (`str`, *optional*): A path to text passages compatible with the faiss index. Required if using [`~models.rag.retrieval_rag.LegacyIndex`] use_dummy_dataset (`bool`, *optional*, defaults to `False`): Whether to load a "dummy" variant of the dataset specified by `dataset`. reduce_loss (`bool`, *optional*, defaults to `False`): Whether or not to reduce the NLL loss using the `torch.Tensor.sum` operation. label_smoothing (`float`, *optional*, defaults to 0.0): Only relevant if `return_loss` is set to `True`. Controls the `epsilon` parameter value for label smoothing in the loss calculation. If set to 0, no label smoothing is performed. do_deduplication (`bool`, *optional*, defaults to `True`): Whether or not to deduplicate the generations from different context documents for a given input. Has to be set to `False` if used while training with distributed backend. exclude_bos_score (`bool`, *optional*, defaults to `False`): Whether or not to disregard the BOS token when computing the loss. do_marginalize (`bool`, *optional*, defaults to `False`): If `True`, the logits are marginalized over all documents by making use of `torch.nn.functional.log_softmax`. output_retrieved (`bool`, *optional*, defaults to `False`): If set to `True`, `retrieved_doc_embeds`, `retrieved_doc_ids`, `context_input_ids` and `context_attention_mask` are returned. See returned tensors for more detail. dataset_revision (`str`, *optional*,): The revision (commit hash, tag, or branch) of the Hugging Face dataset used for retrieval. ÚragTNz / z // i,iÚwiki_dprÚtrainÚ compressedFgc ór<€RV9gRV9d\RVP RV 24hVPR4pVPR4pVPR4pVPR4p\P!V3/VBVn\P!V3/VBVn\SV` !R/VBR#)Úquestion_encoderÚ generatorzA configuration of type zt cannot be instantiated because not both `question_encoder` and `generator` sub-configurations are passed, but only Ú model_typeN©) Ú ValueErrorrÚpoprÚ for_modelrrÚsuperÚ __post_init__)ÚselfÚkwargsÚquestion_encoder_configÚquestion_encoder_model_typeÚdecoder_configÚdecoder_model_typeÚ __class__s&, €Új/home/luca/screen-checking/.venv/lib/python3.14/site-packages/transformers/models/rag/configuration_rag.pyrÚRagConfig.__post_init__msÀø€Ø  VÔ +¨{À&Ô/HÜØ*¨4¯?©?Ð*;ðr?r@rArBrCrDrErFrGrHrIrJrKrÚ classmethodr.Ú__annotate_func__Ú__static_attributes__Ú__classdictcell__Ú __classcell__)rr(s@@r r r sÌù‡€ñ2ðh€JØ"Ðà!€JØ#ÐØ€FØ#€LØ#€LØ+/€LØ)-ÐØ€IØ€GØ€FØ"ÐØ!$ÐØ !ÐØ€GØ €MØ"€JØ!€JØ $€MØ#ÐØ€KØ €OØ!ÐØ#ÐØ €NØ"ÐØ€IØ#'Ðõ(ð"÷ wóð w÷Q…r"r N) rUÚhuggingface_hub.dataclassesrÚconfiguration_utilsrÚutilsrÚauto.configuration_autorr Ú__all__rr"r ÚrasOðñå.å3Ý#Ý0ñ˜2ÔØôpwÐ ópwóóðpwðf ˆ-‚r"