diff --git a/bark.h b/bark.h
index 33001fa..5114fe0 100644
--- a/bark.h
+++ b/bark.h
@@ -115,6 +115,10 @@ extern "C" {
     // Internal API for tests
     //
 
+    typedef std::vector<bark_token> bark_sequence;
+    typedef std::vector<std::vector<bark_token>> bark_codes;
+    typedef std::vector<float> audio_arr_t;
+
     int gpt_model_load(const std::string& fname, gpt_model& model);
 
     int gpt_eval(
@@ -155,14 +159,6 @@ extern "C" {
 
     void bark_forward_encodec(struct bark_context * ctx);
 
-    void print_tensor(struct ggml_tensor * a);
-
-    void read_tensor_from_file(std::ifstream & fin, struct ggml_tensor * t);
-
-    bool allequal(struct ggml_tensor * a, struct ggml_tensor * b, std::string test_name);
-
-    bool allclose(struct ggml_tensor * a, struct ggml_tensor * b, float tol, std::string test_name);
-
 #endif // BARK_API_INTERNAL
 
 #endif  // BARK_H
\ No newline at end of file
diff --git a/tests/test-tokenizer.cpp b/tests/test-tokenizer.cpp
index 2ae2074..7fb8973 100644
--- a/tests/test-tokenizer.cpp
+++ b/tests/test-tokenizer.cpp
@@ -1,10 +1,19 @@
-#include "bark.h"
-
 #include <cstdio>
 #include <string>
 #include <map>
 #include <vector>
 
+#define BARK_API_INTERNAL 
+#include "bark.h"
+
+struct bark_vocab {
+    using id    = int32_t;
+    using token = std::string;
+
+    std::map<token, id> token_to_id;
+    std::map<id, token> id_to_token;
+};
+
 static const std::map<std::string, bark_sequence> & k_tests()
 {
     static std::map<std::string, bark_sequence> _k_tests = {
@@ -30,7 +39,7 @@ int main(int argc, char **argv) {
     bark_vocab vocab;
     int max_ctx_size = 256;
 
-    if (bark_vocab_load(fname, vocab, 119547) > 0) {
+    if (bark_vocab_load(fname.c_str(), &vocab, 119547) > 0) {
         fprintf(stderr, "%s: invalid vocab file '%s'\n", __func__, fname.c_str());
         return 1;
     }
@@ -38,7 +47,7 @@ int main(int argc, char **argv) {
     for (const auto & test_kv : k_tests()) {
         bark_sequence res(test_kv.first.size());
         int n_tokens;
-        bert_tokenize(vocab, test_kv.first.c_str(), res.data(), &n_tokens, max_ctx_size);
+        bert_tokenize(&vocab, test_kv.first.c_str(), res.data(), &n_tokens, max_ctx_size);
         res.resize(n_tokens);
 
         bool correct = res.size() == test_kv.second.size();