Text-to-Speech
Transformers
Safetensors
Arabic
English
qwen2
text-generation
tts
audio
speech
palestinian-arabic
arabic
voice-cloning
miratts
sofelia
text-generation-inference
Instructions to use hamdallah/Sofelia-TTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hamdallah/Sofelia-TTS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="hamdallah/Sofelia-TTS")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("hamdallah/Sofelia-TTS") model = AutoModelForCausalLM.from_pretrained("hamdallah/Sofelia-TTS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1595724df29db0ddbe6aeaf23fd095c25c5ccb0feca25d0d8fce3762c227819a
- Size of remote file:
- 14.1 MB
- SHA256:
- cc90330cb541542195aa2d685938e459dae10965f1de965d222de674e5f63abd
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