Add new models

model.py

@@ -185,6 +185,14 @@ def get_pretrained_model(
         return funsar_nano_31_languages_models[repo_id](
             repo_id, decoding_method=decoding_method, num_active_paths=num_active_paths
         )
+    elif repo_id in cohere_transcribe_14_languages_models:
+        return cohere_transcribe_14_languages_models[repo_id](
+            repo_id, decoding_method=decoding_method, num_active_paths=num_active_paths
+        )
+    elif repo_id in qwen3_asr_52_languages_models:
+        return qwen3_asr_52_languages_models[repo_id](
+            repo_id, decoding_method=decoding_method, num_active_paths=num_active_paths
+        )
     elif repo_id in medical_english_models:
         return medical_english_models[repo_id](
             repo_id, decoding_method=decoding_method, num_active_paths=num_active_paths
@@ -2147,6 +2155,62 @@ def _get_chinese_dialect_models(
     return recognizer
 
 
+@lru_cache(maxsize=5)
+def _get_qwen3_asr(
+    repo_id: str,
+    decoding_method: str,
+    num_active_paths: int,
+) -> sherpa_onnx.OfflineRecognizer:
+    assert repo_id in [
+        "csukuangfj2/sherpa-onnx-qwen3-asr-0.6B-int8-2026-03-25",
+    ], repo_id
+
+    local_dir = snapshot_download(repo_id)
+
+    os.system(f"ls -lh {local_dir}")
+
+    conv_frontend = f"{local_dir}/conv_frontend.onnx"
+    encoder = f"{local_dir}/encoder.int8.onnx"
+    decoder = f"{local_dir}/decoder.int8.onnx"
+    tokenizer = f"{local_dir}/tokenizer"
+
+    return sherpa_onnx.OfflineRecognizer.from_qwen3_asr(
+        conv_frontend=conv_frontend,
+        encoder=encoder,
+        decoder=decoder,
+        tokenizer=tokenizer,
+        num_threads=2,
+    )
+
+
+@lru_cache(maxsize=5)
+def _get_cohere_transcribe(
+    repo_id: str,
+    decoding_method: str,
+    num_active_paths: int,
+) -> sherpa_onnx.OfflineRecognizer:
+    assert repo_id in [
+        "csukuangfj2/sherpa-onnx-cohere-transcribe-14-lang-int8-2026-04-01",
+    ], repo_id
+
+    local_dir = snapshot_download(repo_id)
+
+    os.system(f"ls -lh {local_dir}")
+
+    encoder = f"{local_dir}/encoder.int8.onnx"
+    decoder = f"{local_dir}/decoder.int8.onnx"
+    tokens = f"{local_dir}/tokens.txt"
+
+    return sherpa_onnx.OfflineRecognizer.from_cohere_transcribe(
+        encoder=encoder,
+        decoder=decoder,
+        tokens=tokens,
+        debug=False,
+        num_threads=2,
+    )
+
+
+@lru_cache(maxsize=5)
 def _get_funasr_nano(
     repo_id: str,
     decoding_method: str,
@@ -2494,6 +2558,14 @@ funsar_nano_31_languages_models = {
     "csukuangfj/sherpa-onnx-sense-voice-funasr-nano-2025-12-17": _get_sense_voice_pre_trained_model,
 }
 
+cohere_transcribe_14_languages_models = {
+    "csukuangfj2/sherpa-onnx-cohere-transcribe-14-lang-int8-2026-04-01": _get_cohere_transcribe,
+}
+
+qwen3_asr_52_languages_models = {
+    "csukuangfj2/sherpa-onnx-qwen3-asr-0.6B-int8-2026-03-25": _get_qwen3_asr,
+}
+
 medical_english_models = {
     "csukuangfj/sherpa-onnx-medasr-ctc-en-int8-2025-12-25": _get_medasr_model,
     "csukuangfj/sherpa-onnx-medasr-ctc-en-2025-12-25": _get_medasr_model,
@@ -2639,6 +2711,8 @@ bengali_models = {
 
 
 all_models = {
+    **cohere_transcribe_14_languages_models,
+    **qwen3_asr_52_languages_models,
     **funsar_nano_31_languages_models,
     **more_than_1600_languages_models,
     **medical_english_models,
@@ -2669,7 +2743,11 @@ all_models = {
 
 language_to_models = {
     "Medical dictation English": list(medical_english_models.keys()),
+    "52 languages (Qwen3 ASR)": list(qwen3_asr_52_languages_models.keys()),
     "31 languages (FunASR Nano)": list(funsar_nano_31_languages_models.keys()),
+    "14 languages (Cohere Transcribe)": list(
+        cohere_transcribe_14_languages_models.keys()
+    ),
     "1600+ languages": list(more_than_1600_languages_models.keys()),
     "25 European languages": list(twenty_five_languages_models.keys()),
     "Multi-lingual (east aisa)": list(multi_lingual_models.keys()),

requirements.txt

@@ -10,7 +10,7 @@ numpy<2
 
 huggingface_hub
 
-https://huggingface.co/csukuangfj2/sherpa-onnx-wheels/resolve/main/cpu/1.12.27/sherpa_onnx_core-1.12.27-py3-none-manylinux2014_x86_64.whl
-https://huggingface.co/csukuangfj2/sherpa-onnx-wheels/resolve/main/cpu/1.12.27/sherpa_onnx-1.12.27-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
+# https://huggingface.co/csukuangfj2/sherpa-onnx-wheels/resolve/main/cpu/1.12.27/sherpa_onnx_core-1.12.27-py3-none-manylinux2014_x86_64.whl
+# https://huggingface.co/csukuangfj2/sherpa-onnx-wheels/resolve/main/cpu/1.12.27/sherpa_onnx-1.12.27-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
 
-#sherpa-onnx>=1.12.6
+sherpa-onnx>=1.12.35