Instructions to use yueyulin/respark with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yueyulin/respark with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="yueyulin/respark")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yueyulin/respark", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- epoch2
- epoch9
- rwkv7-0.1B-g1-respark-voice-tunable-ipa-epoch0
- rwkv7-0.1B-g1-respark-voice-tunable-ipa-epoch1
- rwkv7-0.1B-g1-respark-voice-tunable-ipa
- rwkv7-0.4B-g1-respark-voice-tunable-25k
- rwkv7-0.4B-g1-respark-voice-tunable
- rwkv7-0.4B-g1-respark-voice-tunable_ipa
- rwkvtts-respark-webrwkv
- trained_190k_steps
- trained_210k_steps
- trained_30_percents
- trained_50_percents
- 11.2 kB
- 387 Bytes