Audio-Text-to-Text
Transformers
Safetensors
English
Chinese
qwen2
text-generation
speech-language-model
streaming
audio
multimodal
qwen2.5-omni
text-generation-inference
Instructions to use zhifeixie/AudioInteraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zhifeixie/AudioInteraction with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("zhifeixie/AudioInteraction") model = AutoModelForCausalLM.from_pretrained("zhifeixie/AudioInteraction") - Notebooks
- Google Colab
- Kaggle
| """Upload the sharded checkpoint folder to zhifeixie/Mini-Omni3.""" | |
| import argparse | |
| from pathlib import Path | |
| from huggingface_hub import HfApi, login | |
| def main(): | |
| ap = argparse.ArgumentParser() | |
| ap.add_argument("--folder", default="/Users/yansc-xzf/Desktop/工作/Mini-Omni3/github/omni3/Mini-Omni3/checkpoints") | |
| ap.add_argument("--repo-id", default="zhifeixie/Mini-Omni3") | |
| ap.add_argument("--path-in-repo", default=".", | |
| help="Subdirectory inside the repo. Use '.' to upload at repo root.") | |
| ap.add_argument("--private", action="store_false") | |
| ap.add_argument("--token", default=None, | |
| help="HF token. If omitted, uses cached login (`huggingface-cli login`).") | |
| args = ap.parse_args() | |
| if args.token: | |
| login(token=args.token) | |
| api = HfApi() | |
| api.create_repo(repo_id=args.repo_id, repo_type="model", | |
| private=args.private, exist_ok=True) | |
| folder = Path(args.folder) | |
| if not folder.is_dir(): | |
| raise SystemExit(f"Not a directory: {folder}") | |
| print(f"Uploading {folder} → {args.repo_id}:{args.path_in_repo}") | |
| # upload_large_folder is designed for multi-GB folders: parallel chunked | |
| # uploads with automatic resume on interruption. | |
| api.upload_large_folder( | |
| repo_id=args.repo_id, | |
| repo_type="model", | |
| folder_path=str(folder), | |
| # path_in_repo is not directly supported by upload_large_folder; | |
| # we emulate it via allow_patterns if needed. The simplest path is | |
| # to upload the folder as-is at the repo root, OR to rename your | |
| # local folder to match the desired in-repo name. | |
| ) | |
| print("Done. Check: https://huggingface.co/" + args.repo_id) | |
| if __name__ == "__main__": | |
| main() |