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model: fix issues with spm tokenizer for Gemma 3 (#10081)
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@@ -55,7 +55,6 @@ func (p *MultiModalProjector) Forward(ctx ml.Context, visionOutputs ml.Tensor, i
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func New(c ml.Config) (model.Model, error) {
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m := Model{
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SentencePieceModel: model.NewSentencePieceModel(
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c.String("tokenizer.ggml.pretokenizer", `(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\r\n\p{L}\p{N}]?\p{L}+|\p{N}{1,3}| ?[^\s\p{L}\p{N}]+[\r\n]*|\s*[\r\n]+|\s+(?!\S)|\s+`),
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&model.Vocabulary{
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Values: c.Strings("tokenizer.ggml.tokens"),
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Scores: c.Floats("tokenizer.ggml.scores"),
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@@ -45,7 +45,6 @@ func newTextModel(c ml.Config) *TextModel {
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m := TextModel{
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SentencePieceModel: model.NewSentencePieceModel(
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c.String("tokenizer.ggml.pretokenizer", `(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\r\n\p{L}\p{N}]?\p{L}+|\p{N}{1,3}| ?[^\s\p{L}\p{N}]+[\r\n]*|\s*[\r\n]+|\s+(?!\S)|\s+`),
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&model.Vocabulary{
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Values: c.Strings("tokenizer.ggml.tokens"),
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Scores: c.Floats("tokenizer.ggml.scores"),
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