Fabio
c36510c21e
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43 lines
1.6 KiB
C++
43 lines
1.6 KiB
C++
#pragma once
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#include <cstdint>
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#include <filesystem>
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#include <memory>
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#include <string>
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#include <vector>
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namespace engine::models::nemotron_transcribe {
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struct PromptTokens {
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std::vector<int32_t> before_audio;
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std::vector<int32_t> after_audio;
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};
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class TextTokenizer {
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public:
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TextTokenizer(const std::filesystem::path & tokenizer_json_path,
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const std::filesystem::path & tokenizer_config_path);
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// No BOS is added. parse_special controls recognition of chat/control
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// tokens; transcript tags retain their checkpoint tokenization.
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std::vector<int32_t> encode(const std::string & text, bool parse_special = true) const;
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std::string decode(const std::vector<int32_t> & ids, bool skip_special_tokens = false) const;
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// An audio locator is represented by the gap between these vectors. Its
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// ID 131072 never enters the 131072-row language-model embedding table.
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// Instruction and system text may name transcript tags, but cannot inject
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// chat controls or an audio locator. Text is otherwise preserved verbatim.
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PromptTokens build_prompt(const std::string & instruction, const std::string & system_prompt = {}) const;
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std::string special_token_in(const std::string & text) const;
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const std::vector<std::string> & alignment_special_tokens() const noexcept;
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static constexpr int32_t end_of_turn_id = 11;
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static constexpr int32_t audio_locator_id = 131072;
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static constexpr int32_t embedding_rows = 131072;
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private:
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struct Impl;
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std::shared_ptr<const Impl> impl_;
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};
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} // namespace engine::models::nemotron_transcribe
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