Instructions to use IndexTeam/Index-TTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- IndexTTS
How to use IndexTeam/Index-TTS with IndexTTS:
# Download model from huggingface_hub import snapshot_download snapshot_download(IndexTeam/Index-TTS, local_dir="checkpoints") from indextts.infer import IndexTTS # Ensure config.yaml is present in the checkpoints directory tts = IndexTTS(model_dir="checkpoints", cfg_path="checkpoints/config.yaml") voice = "path/to/your/reference_voice.wav" # Path to the voice reference audio file text = "Hello, how are you?" output_path = "output_index.wav" tts.infer(voice, text, output_path)
- Notebooks
- Google Colab
- Kaggle
--- license: apache-2.0 datasets: - CoIR-Retrieval/CodeSearchNet-python-queries-corpus language: - en - ar - zh - ru - fr metrics: - loss - accuracy base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0 pipeline_tag: text-generation library_name: transformers tags: - chat - conversational - programming - algorithms - ethical-hacking - open-source - tinyllama new_version: v1.0 training_data: 156GB of diverse text data (including programming and algorithmic content) model-index: - name: TINYLAMA results: - task: type: text-generation dataset: type: custom name: Local Dataset (156GB) metrics: - type: loss value: TBD (To Be Determined after retraining) - type: accuracy value: TBD (To Be Determined after retraining) eval_results: - task: Text Generation dataset: Local Dataset (156GB) metrics: - name: Loss value: TBD (To Be Determined after retraining) - name: Accuracy value: TBD (To Be Determined after retraining)
#4
by sultan1405 - opened
TINYLAMA
TINYLAMA هو نموذج ذكاء اصطناعي صغير تم تدريبه على بيانات محلية (156 جيجابايت) لأغراض الدردشة التفاعلية، البرمجة المتقدمة، الخوارزميات، والاختراق الأخلاقي. النموذج مُحسن للأجهزة ذات الموارد المحدودة.
المواصفات
- عدد المعلمات: 1.1 مليار
- النموذج الأساسي: TinyLlama-1.1B-Chat-v1.0
- البيانات المستخدمة:
- 156 جيجابايت من النصوص المتنوعة (تشمل محتوى برمجة وخوارزميات)
- CoIR-Retrieval/CodeSearchNet-python-queries-corpus