Instructions to use OliBomby/Mapperatorinator-v32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliBomby/Mapperatorinator-v32 with Transformers:
# Load model directly from transformers import Mapperatorinator model = Mapperatorinator.from_pretrained("OliBomby/Mapperatorinator-v32", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "Mapperatorinator" | |
| ], | |
| "backbone_config": { | |
| "_name_or_path": "openai/whisper-small", | |
| "activation_dropout": 0.0, | |
| "activation_function": "gelu", | |
| "apply_spec_augment": false, | |
| "architectures": [ | |
| "WhisperForConditionalGeneration" | |
| ], | |
| "attention_bias": true, | |
| "attention_dropout": 0.0, | |
| "begin_suppress_tokens": null, | |
| "bos_token_id": 1, | |
| "classifier_proj_size": 256, | |
| "d_model": 768, | |
| "decoder_attention_heads": 12, | |
| "decoder_ffn_dim": 3072, | |
| "decoder_layerdrop": 0.0, | |
| "decoder_layers": 12, | |
| "decoder_start_token_id": 1, | |
| "deterministic_flash_attn": false, | |
| "dropout": 0.0, | |
| "dtype": "float32", | |
| "encoder_attention_heads": 12, | |
| "encoder_ffn_dim": 3072, | |
| "encoder_layerdrop": 0.0, | |
| "encoder_layers": 12, | |
| "eos_token_id": 2, | |
| "forced_decoder_ids": null, | |
| "global_attn_every_n_layers": 1, | |
| "global_rope_theta": 10000, | |
| "init_std": 0.02, | |
| "local_attention": 128, | |
| "local_rope_theta": 10000, | |
| "mask_feature_length": 10, | |
| "mask_feature_min_masks": 0, | |
| "mask_feature_prob": 0.0, | |
| "mask_time_length": 10, | |
| "mask_time_min_masks": 2, | |
| "mask_time_prob": 0.05, | |
| "max_length": 448, | |
| "max_source_positions": 1024, | |
| "max_target_positions": 2560, | |
| "median_filter_width": 7, | |
| "model_type": "whisper", | |
| "num_hidden_layers": 12, | |
| "num_mel_bins": 128, | |
| "pad_token_id": 0, | |
| "rope_scaling": { | |
| "factor": 1.0, | |
| "rope_type": "default" | |
| }, | |
| "scale_embedding": false, | |
| "tie_word_embeddings": false, | |
| "use_cache": false, | |
| "use_weighted_layer_sum": false, | |
| "vocab_size": 4097 | |
| }, | |
| "backbone_model_name": "OliBomby/varwhisper-small", | |
| "bos_token_id": 1, | |
| "cond_dim": 128, | |
| "cond_size": 0, | |
| "decoder_start_token_id": 1, | |
| "disable_compile": true, | |
| "do_difficulty_embed": false, | |
| "do_mapper_embed": false, | |
| "do_sample": true, | |
| "do_song_position_embed": false, | |
| "do_style_embed": false, | |
| "dtype": "float32", | |
| "embed_decoder_input": true, | |
| "eos_token_id": 2, | |
| "f_max": 8000, | |
| "f_min": 20, | |
| "hidden_size": 768, | |
| "hop_length": 128, | |
| "init_std": 0.02, | |
| "input_features": true, | |
| "input_raw_wave": false, | |
| "is_encoder_decoder": true, | |
| "label_smoothing": 0.0, | |
| "max_length": null, | |
| "max_source_positions": 1024, | |
| "max_target_positions": 2560, | |
| "model_type": "mapperatorinator", | |
| "n_fft": 1024, | |
| "n_mels": 128, | |
| "num_attention_heads": 12, | |
| "num_classes": 0, | |
| "num_hidden_layers": 12, | |
| "num_mappers": 7605, | |
| "pad_mode": "reflect", | |
| "pad_token_id": 0, | |
| "project_encoder_input": false, | |
| "rhythm_token_end": 1647, | |
| "rhythm_token_start": 9, | |
| "rhythm_weight": 1.0, | |
| "sample_rate": 16000, | |
| "spectrogram_implementation": "torchaudio", | |
| "spectrogram_log_scale": true, | |
| "top_k": 0, | |
| "transformers_version": "4.57.3", | |
| "vocab_size": 4097, | |
| "vocab_size_in": 12505 | |
| } | |