begin_suppress_tokens ( List, optional) -Ī list of tokens that will be suppressed at the beginning of the generation.Log probs to -inf so that they are not sampled. The SupressTokens logit processor will set their suppress_tokens ( List, optional) -Ī list of tokens that will be suppressed at generation.Penalty starts and decay_factor represents the factor of exponential decay The tuple shall consist of: (start_index, decay_factor) where start_index indicates where This Tuple adds an exponentially increasing length penalty, after a certain amount of tokens have been exponential_decay_length_penalty ( tuple(int, float), optional).Note that using remove_invalid_values can slow down generation. Whether to remove possible nan and inf outputs of the model to prevent the generation method to crash. remove_invalid_values ( bool, optional, defaults to _invalid_values).List to set multiple end-of-sequence tokens. The id of the token to force as the last generated token when max_length is reached. forced_eos_token_id ( Union], optional, defaults to _eos_token_id).Multilingual models like mBART where the first generated token needs to be the target The id of the token to force as the first generated token after the decoder_start_token_id. forced_bos_token_id ( int, optional, defaults to _bos_token_id).constraints ( List, optional) -Ĭustom constraints that can be added to the generation to ensure that the output will contain the use ofĬertain tokens as defined by Constraint objects, in the most sensible way possible.It’s highly recommended to set this flag to True as the search algorithms suppose the score logitsĪre normalized but some logit processors or warpers break the normalization. Whether to renormalize the logits after applying all the logits processors or warpers (including the custom renormalize_logits ( bool, optional, defaults to False).Triggers a disjunctive constraint, where one Words that must be included, the opposite to bad_words_ids. If given a List], this is treated as a simple list of List of token ids that must be generated. force_words_ids( List] or List]], optional).Should not appear in the generated text, use tokenizer(bad_words, add_prefix_space=True, add_special_tokens=False).input_ids. In order to get the token ids of the words that List of token ids that are not allowed to be generated. Length_penalty 0, all ngrams of that size can only occur once. If set to float 0.0 promotes longer sequences, while top_p ( float, optional, defaults to 1.0).The number of highest probability vocabulary tokens to keep for top-k-filtering. top_k ( int, optional, defaults to 50).The value used to modulate the next token probabilities. temperature ( float, optional, defaults to 1.0).Parameters for manipulation of the model output logits Whether or not the model should use the past last key/values attentions (if applicable to the model) to use_cache ( bool, optional, defaults to True).The values balance the model confidence and the degeneration penalty in contrastive search decoding. Number of groups to divide num_beams into in order to ensure diversity among different groups of beams. num_beam_groups ( int, optional, defaults to 1).num_beams ( int, optional, defaults to 1).Whether or not to use sampling use greedy decoding otherwise. do_sample ( bool, optional, defaults to False).Parameters that control the generation strategy used The current pass after allocated time has been passed. The maximum amount of time you allow the computation to run for in seconds. "never", where the beam search procedure only stops when there cannot be better candidates (canonical Heuristic is applied and the generation stops when is it very unlikely to find better candidates True, where the generation stops as soon as there are num_beams complete candidates False, where an early_stopping ( bool or str, optional, defaults to False) -Ĭontrols the stopping condition for beam-based methods, like beam-search.The minimum numbers of tokens to generate, ignoring the number of tokens in the prompt. Its effect is overridden by min_new_tokens, if also set. Corresponds to the length of the input prompt + The minimum length of the sequence to be generated. min_length ( int, optional, defaults to 0).The maximum numbers of tokens to generate, ignoring the number of tokens in the prompt. Its effect is overridden by max_new_tokens, if also set. The maximum length the generated tokens can have. max_length ( int, optional, defaults to 20).Parameters that control the length of the output
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