Instructions to use sammoran-phd/cara-native-acestep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sammoran-phd/cara-native-acestep with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="sammoran-phd/cara-native-acestep")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sammoran-phd/cara-native-acestep", device_map="auto") - PEFT
How to use sammoran-phd/cara-native-acestep with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
File size: 2,818 Bytes
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"format": "cara_source_snapshot_v1",
"git_remote": "https://github.com/sammoran78/cara-native-ACEStep.git",
"git_head": "6d467e4b5081ccb0abf1ec1bf4fdf9051a2d34b0",
"worktree_clean": false,
"worktree_status": [
"M acestep/core/generation/handler/conditioning_embed.py",
" M acestep/core/generation/handler/init_service_orchestrator.py",
" M acestep/llm_inference.py",
" M acestep/models/turbo/modeling_acestep_v15_turbo.py",
" M acestep/training/dataset_builder_modules/preprocess_audio.py",
" M acestep/training_v2/model_loader.py",
" M acestep/training_v2/preprocess.py",
" D assets/star.gif",
"?? .agents/",
"?? .amlignore",
"?? CARA_NATIVE_ACESTEP_INTEGRATION_LOG.md",
"?? acestep/cara/",
"?? acestep/training_lm/",
"?? acestep/training_v2/cara_dit_recovery.py",
"?? acestep/training_v2/cara_dit_recovery_test.py",
"?? acestep/training_v2/cara_dit_training.py",
"?? acestep/training_v2/cara_dit_training_test.py",
"?? acestep/training_v2/model_loader_phase3_test.py",
"?? acestep/training_v2/rotary_state.py",
"?? acestep/training_v2/rotary_state_test.py",
"?? assets/.star.gif.icloud",
"?? docs/CARA_NATIVE_ACESTEP_PHASE3_DIT_RUNBOOK.md",
"?? huggingface/",
"?? outputs/",
"?? scripts/audit_cara_suffix_attention.py",
"?? scripts/benchmark_cara_dit_attribution.py",
"?? scripts/benchmark_cara_fixed_audio.py",
"?? scripts/benchmark_cara_native_acestep.py",
"?? scripts/benchmark_cara_native_acestep_test.py",
"?? scripts/cache_cara_acestep_5hz_codes.py",
"?? scripts/cache_cara_acestep_5hz_codes_test.py",
"?? scripts/compare_cara_dit_phase3_checkpoints.py",
"?? scripts/evaluate_cara_suffix_decoder.py",
"?? scripts/expand_cara_dit_checkpoint.py",
"?? scripts/expand_cara_lm_vocab.py",
"?? scripts/extract_cara_probe_features.py",
"?? scripts/prepare_cara_dit_dataset_json.py",
"?? scripts/prepare_cara_dit_phase3_manifest.py",
"?? scripts/prepare_cara_dit_phase3_manifest_test.py",
"?? scripts/preprocess_cara_dit_tensors.py",
"?? scripts/preprocess_cara_dit_tensors_test.py",
"?? scripts/prompt_semantic_ablation.py",
"?? scripts/run_cara_discriminability_probe.py",
"?? scripts/score_cara_attribution_predictions.py",
"?? scripts/score_cara_native_suffix_structure.py",
"?? scripts/train_cara_dit_attribution.py",
"?? scripts/verify_acestep_phase3_decoder_loader.py",
"?? scripts/verify_cara_dit_feature_contract.py",
"?? scripts/verify_cara_native_training_preflight.py"
],
"source_archive": "cara-native-acestep-source.tar.gz",
"source_archive_sha256": "7f92d371f0891327dd603b63f5080a1d0cba0dcf5ad43d9830217d93d4a364bf",
"note": "The archive is authoritative when worktree_clean is false."
}
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