Update model.py

model.py

@@ -700,15 +700,12 @@ def _get_gigaspeech_pre_trained_model(
     decoding_method: str,
     num_active_paths: int,
 ) -> sherpa.OfflineRecognizer:
-    assert repo_id in [
-        "wgb14/icefall-asr-gigaspeech-pruned-transducer-stateless2",
-    ], repo_id
+    # assert repo_id in [
+    #     "wgb14/icefall-asr-gigaspeech-pruned-transducer-stateless2",
+    # ], repo_id
 
-    nn_model = _get_nn_model_filename(
-        repo_id=repo_id,
-        filename="cpu_jit-iter-3488000-avg-20.pt",
-    )
-    tokens = "./giga-tokens.txt"
+    nn_model = "jit_script.pt"
+    tokens = "tokens.txt"
 
     feat_config = sherpa.FeatureConfig()
     feat_config.fbank_opts.frame_opts.samp_freq = sample_rate