Notebook Input Output Logs

import os import json import numpy as np import pandas as pd import librosa import torch import torch.nn as nn import timm import warnings warnings.filterwarnings('ignore') print("Device: CPU") print("Torch:", torch.__version__)

class CFG: BASE = "/kaggle/input/competitions/birdclef-2026" SPECIES_PATH = "/kaggle/input/datasets/muhammadusamazaman/species/species_list.json" MODEL_PATH = "/kaggle/input/models/muhammadusamazaman/base/other/birdclif/1/best_model.pth" sample_rate = 32000 duration = 5 n_mels = 128 n_fft = 2048 hop_length = 512 fmin = 20 fmax = 16000 model_name = "efficientnet_b0" device = "cpu"

with open(CFG.SPECIES_PATH, 'r') as f: ALL_SPECIES = json.load(f) NUM_CLASSES = len(ALL_SPECIES)

print(f"Species: {NUM_CLASSES}") print("Model loaded ✅")

sample_sub = pd.read_csv(f"{CFG.BASE}/sample_submission.csv")

submission.to_csv("submission.csv", index=False) print("submission.csv saved ✅")

The notebook has successfully processed the data and the submission file has been saved.