Args: hidden_states (`torch.FloatTensor`): input to the layer of shape `(batch, seq_len, embed_dim)` attention_mask (

r""" Args: labels (`torch.LongTensor` of shape `(batch_size, sequence_length)`, *optional*): Labels for computing

Run a single prediction on the model

Run a single prediction on the model

Args: images (`ImageInput`): Image to preprocess. Expects a single or batch of images with pixel values ranging f

Save only the vocabulary of the tokenizer (vocabulary). Returns: `Tuple(str)`: Paths to the files saved.

Load the model into memory to make running multiple predictions efficient

Load the model into memory to make running multiple predictions efficient

Converts a string in a sequence of tokens. Args: text (`str`): The sequence to be encoded. a