Instructions to use SAIFIINDUSTRIES/AST_ESC50_FineTuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SAIFIINDUSTRIES/AST_ESC50_FineTuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="SAIFIINDUSTRIES/AST_ESC50_FineTuned")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("SAIFIINDUSTRIES/AST_ESC50_FineTuned") model = AutoModelForAudioClassification.from_pretrained("SAIFIINDUSTRIES/AST_ESC50_FineTuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "ASTForAudioClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.0, | |
| "dtype": "float32", | |
| "frequency_stride": 10, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.0, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "cat", | |
| "1": "cow", | |
| "2": "crow", | |
| "3": "dog", | |
| "4": "frog", | |
| "5": "hen", | |
| "6": "insects", | |
| "7": "pig", | |
| "8": "rooster", | |
| "9": "sheep" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "cat": 0, | |
| "cow": 1, | |
| "crow": 2, | |
| "dog": 3, | |
| "frog": 4, | |
| "hen": 5, | |
| "insects": 6, | |
| "pig": 7, | |
| "rooster": 8, | |
| "sheep": 9 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_length": 1024, | |
| "model_type": "audio-spectrogram-transformer", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "num_mel_bins": 128, | |
| "patch_size": 16, | |
| "problem_type": "single_label_classification", | |
| "qkv_bias": true, | |
| "time_stride": 10, | |
| "transformers_version": "5.0.0", | |
| "use_cache": false | |
| } | |