Acceder modelo hf

app.py

@@ -9,13 +9,13 @@ token = os.getenv("HF_TOKEN")
 client = InferenceClient("meta-llama/Meta-Llama-3-8B-Instruct", token=token)
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 model_class, id2label_class = predict_params(
-    model_path="distilhubert-finetuned-mixed-data",
+    model_path="A-POR-LOS-8000/distilhubert-finetuned-mixed-data",
     dataset_path="data/mixed_data",
     filter_white_noise=True,
     undersample_normal=True
     )
 model_mon, id2label_mon = predict_params(
-    model_path="distilhubert-finetuned-cry-detector",
+    model_path="A-POR-LOS-8000/distilhubert-finetuned-cry-detector",
     dataset_path="data/baby_cry_detection",
     filter_white_noise=False,
     undersample_normal=False