A class that keeps all conversation history.

Processes an answer similar to Eval AI copied from https://github.com/facebookresearch/mmf/blob/c46b3b3391275b4181567db80943473a8

Transformer encoder consisting of `config.num_hidden_layers` self attention layers. Each layer is a [`CLIPEncoderLayer`]. Args:

Transformer encoder consisting of `config.num_hidden_layers` self attention layers. Each layer is a [`CLIPEncoderLayer`]. Args:

Transformer encoder consisting of `config.num_hidden_layers` self attention layers. Each layer is a [`CLIPEncoderLayer`]. Args:

Transformer encoder consisting of `config.num_hidden_layers` self attention layers. Each layer is a [`CLIPEncoderLayer`]. Args:

Transformer encoder consisting of `config.num_hidden_layers` self attention layers. Each layer is a [`CLIPEncoderLayer`]. Args:

r""" This is the configuration class to store the configuration of a [`CLIPTextModel`]. It is used to instantiate a CLIP text encoder accordin

r""" This is the configuration class to store the configuration of a [`CLIPTextModel`]. It is used to instantiate a CLIP text encoder accordin

r""" This is the configuration class to store the configuration of a [`CLIPTextModel`]. It is used to instantiate a CLIP text encoder accordin

r""" This is the configuration class to store the configuration of a [`CLIPTextModel`]. It is used to instantiate a CLIP text encoder accordin

r""" This is the configuration class to store the configuration of a [`CLIPTextModel`]. It is used to instantiate a CLIP text encoder accordin

r""" This is the configuration class to store the configuration of a [`CLIPVisionModel`]. It is used to instantiate a CLIP vision encoder acco

r""" This is the configuration class to store the configuration of a [`CLIPVisionModel`]. It is used to instantiate a CLIP vision encoder acco

r""" This is the configuration class to store the configuration of a [`CLIPVisionModel`]. It is used to instantiate a CLIP vision encoder acco

r""" This is the configuration class to store the configuration of a [`CLIPVisionModel`]. It is used to instantiate a CLIP vision encoder acco

r""" This is the configuration class to store the configuration of a [`CLIPVisionModel`]. It is used to instantiate a CLIP vision encoder acco

Fake file-like stream object that redirects writes to a logger instance.

Collate examples for supervised fine-tuning.

Dataset for supervised fine-tuning.

r""" Sampler that samples indices in a way that groups together features of the dataset of roughly the same length while keeping a bit of rand

https://arxiv.org/abs/2212.00794

https://arxiv.org/abs/2212.00794

https://arxiv.org/abs/2212.00794

https://arxiv.org/abs/2212.00794

https://arxiv.org/abs/2212.00794

AutoTokenizer + Adaptation for MOD. A simple wrapper around AutoTokenizer to make instantiating an MOD-adapted tokenizer a bit easier. M

An abstract class to handle weights initialization and a simple interface for downloading and loading pretrained models.

An abstract class to handle weights initialization and a simple interface for downloading and loading pretrained models.

An abstract class to handle weights initialization and a simple interface for downloading and loading pretrained models.

An abstract class to handle weights initialization and a simple interface for downloading and loading pretrained models.

An abstract class to handle weights initialization and a simple interface for downloading and loading pretrained models.

r""" [`CLIPConfig`] is the configuration class to store the configuration of a [`CLIPModel`]. It is used to instantiate a CLIP model according

Construct a CLIP tokenizer. Based on byte-level Byte-Pair-Encoding. This tokenizer inherits from [`PreTrainedTokenizer`] which contains most

r""" [`CLIPConfig`] is the configuration class to store the configuration of a [`CLIPModel`]. It is used to instantiate a CLIP model according

Construct a CLIP tokenizer. Based on byte-level Byte-Pair-Encoding. This tokenizer inherits from [`PreTrainedTokenizer`] which contains most

r""" [`CLIPConfig`] is the configuration class to store the configuration of a [`CLIPModel`]. It is used to instantiate a CLIP model according

Construct a CLIP tokenizer. Based on byte-level Byte-Pair-Encoding. This tokenizer inherits from [`PreTrainedTokenizer`] which contains most