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Add M2M100 & NLLB model #392

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merged 6 commits into from
Aug 19, 2024
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Add M2M100 & NLLB model #392

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52ddc53
Add M2M100 & NLLB model
aymanosman Aug 12, 2024
1709626
remove unused options and parameters
aymanosman Aug 15, 2024
cc644a5
add moduledoc
aymanosman Aug 15, 2024
86c2436
use defnp for readability for position embedding
aymanosman Aug 15, 2024
1229a9d
Apply suggestions from code review
jonatanklosko Aug 19, 2024
85950c6
Simplify sinusoidal position embedding
jonatanklosko Aug 19, 2024
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10 changes: 9 additions & 1 deletion lib/bumblebee.ex
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Original file line number Diff line number Diff line change
Expand Up @@ -165,6 +165,8 @@ defmodule Bumblebee do
"MBartForQuestionAnswering" => {Bumblebee.Text.Mbart, :for_question_answering},
"MBartForSequenceClassification" => {Bumblebee.Text.Mbart, :for_sequence_classification},
"MBartModel" => {Bumblebee.Text.Mbart, :base},
"M2M100Model" => {Bumblebee.Text.M2m100, :base},
"M2M100ForConditionalGeneration" => {Bumblebee.Text.M2m100, :for_conditional_generation},
"MistralModel" => {Bumblebee.Text.Mistral, :base},
"MistralForCausalLM" => {Bumblebee.Text.Mistral, :for_causal_language_modeling},
"MistralForSequenceClassification" => {Bumblebee.Text.Mistral, :for_sequence_classification},
Expand Down Expand Up @@ -252,7 +254,13 @@ defmodule Bumblebee do
"roberta" => :roberta,
"t5" => :t5,
"whisper" => :whisper,
"xlm-roberta" => :xlm_roberta
"xlm-roberta" => :xlm_roberta,
# Both M2M100 and NLLB model checkpoints use the M2M100 model,
# but have distinct tokenizers. Consequently, model type is
# "m2m_100" in both cases. Currently only NLLB has fast tokenizer
# implementation, so if we load the tokenizer correctly, it is
# safe to assume it's NLLB
"m2m_100" => :nllb
}

@diffusers_class_to_scheduler %{
Expand Down
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