1- defmodule Bumblebee.Text.SmolLM3Test do
1+ defmodule Bumblebee.Text.SmolLm3Test do
22 use ExUnit.Case , async: true
33
44 import Bumblebee.TestHelpers
@@ -11,7 +11,7 @@ defmodule Bumblebee.Text.SmolLM3Test do
1111 architecture: :base
1212 )
1313
14- assert % Bumblebee.Text.SmolLM3 { architecture: :base } = spec
14+ assert % Bumblebee.Text.SmolLm3 { architecture: :base } = spec
1515
1616 inputs = % {
1717 "input_ids" => Nx . tensor ( [ [ 10 , 20 , 30 , 40 , 50 , 60 , 70 , 80 , 0 , 0 ] ] ) ,
@@ -41,7 +41,7 @@ defmodule Bumblebee.Text.SmolLM3Test do
4141 architecture: :for_question_answering
4242 )
4343
44- assert % Bumblebee.Text.SmolLM3 { architecture: :for_question_answering } = spec
44+ assert % Bumblebee.Text.SmolLm3 { architecture: :for_question_answering } = spec
4545
4646 inputs = % {
4747 "input_ids" => Nx . tensor ( [ [ 10 , 20 , 30 , 40 , 50 , 60 , 70 , 80 , 0 , 0 ] ] ) ,
@@ -78,7 +78,7 @@ defmodule Bumblebee.Text.SmolLM3Test do
7878 architecture: :for_sequence_classification
7979 )
8080
81- assert % Bumblebee.Text.SmolLM3 { architecture: :for_sequence_classification } = spec
81+ assert % Bumblebee.Text.SmolLm3 { architecture: :for_sequence_classification } = spec
8282
8383 inputs = % {
8484 "input_ids" => Nx . tensor ( [ [ 10 , 20 , 30 , 40 , 50 , 60 , 70 , 80 , 0 , 0 ] ] ) ,
@@ -101,7 +101,7 @@ defmodule Bumblebee.Text.SmolLM3Test do
101101 architecture: :for_causal_language_modeling
102102 )
103103
104- assert % Bumblebee.Text.SmolLM3 { architecture: :for_causal_language_modeling } = spec
104+ assert % Bumblebee.Text.SmolLm3 { architecture: :for_causal_language_modeling } = spec
105105
106106 inputs = % {
107107 "input_ids" => Nx . tensor ( [ [ 10 , 20 , 30 , 40 , 50 , 60 , 70 , 80 , 0 , 0 ] ] ) ,
@@ -131,7 +131,7 @@ defmodule Bumblebee.Text.SmolLM3Test do
131131 architecture: :for_token_classification
132132 )
133133
134- assert % Bumblebee.Text.SmolLM3 { architecture: :for_token_classification } = spec
134+ assert % Bumblebee.Text.SmolLm3 { architecture: :for_token_classification } = spec
135135
136136 inputs = % {
137137 "input_ids" => Nx . tensor ( [ [ 10 , 20 , 30 , 40 , 50 , 60 , 70 , 80 , 0 , 0 ] ] ) ,
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