Add 1B

model.py

@@ -612,6 +612,8 @@ def _get_sherpa_onnx_omnilingual_asr_models(
     assert repo_id in [
         "csukuangfj/sherpa-onnx-omnilingual-asr-1600-languages-300M-ctc-2025-11-12",
         "csukuangfj/sherpa-onnx-omnilingual-asr-1600-languages-300M-ctc-int8-2025-11-12",
+        "csukuangfj/sherpa-onnx-omnilingual-asr-1600-languages-1B-ctc-2025-11-12",
+        "csukuangfj/sherpa-onnx-omnilingual-asr-1600-languages-1B-ctc-int8-2025-11-12",
     ], repo_id
 
     is_int8 = "int8" in repo_id
@@ -622,6 +624,20 @@ def _get_sherpa_onnx_omnilingual_asr_models(
         subfolder=".",
     )
 
+    if (
+        repo_id
+        == "csukuangfj/sherpa-onnx-omnilingual-asr-1600-languages-1B-ctc-2025-11-12"
+    ):
+        # download the weights. it is not used in the code explicitly.
+        # it is needed at runtime.
+        model_weights = _get_nn_model_filename(
+            repo_id=repo_id,
+            filename="model.weights",
+            subfolder=".",
+        )
+        print("model", model)
+        print("model_weights", model_weights)
+
     tokens = _get_token_filename(repo_id=repo_id, subfolder=".")
 
     recognizer = sherpa_onnx.OfflineRecognizer.from_omnilingual_asr_ctc(
@@ -734,6 +750,8 @@ twenty_five_languages_models = {
 more_than_1600_languages_models = {
     "csukuangfj/sherpa-onnx-omnilingual-asr-1600-languages-300M-ctc-int8-2025-11-12": _get_sherpa_onnx_omnilingual_asr_models,
     "csukuangfj/sherpa-onnx-omnilingual-asr-1600-languages-300M-ctc-2025-11-12": _get_sherpa_onnx_omnilingual_asr_models,
+    "csukuangfj/sherpa-onnx-omnilingual-asr-1600-languages-1B-ctc-int8-2025-11-12": _get_sherpa_onnx_omnilingual_asr_models,
+    "csukuangfj/sherpa-onnx-omnilingual-asr-1600-languages-1B-ctc-2025-11-12": _get_sherpa_onnx_omnilingual_asr_models,
 }
 
 language_to_models = {

requirements.txt

@@ -1,3 +1,4 @@
+https://huggingface.co/csukuangfj/sherpa-onnx-wheels/resolve/main/cpu/1.12.17/sherpa_onnx_core-1.12.17-py3-none-manylinux2014_x86_64.whl
 https://huggingface.co/csukuangfj/sherpa-onnx-wheels/resolve/main/cpu/1.12.17/sherpa_onnx-1.12.17-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
 
 #sherpa-onnx>=1.12.9