Text-to-Speech
Transformers
Safetensors
English
llama
text-generation
text-generation-inference
unsloth
Instructions to use Cosmobillian/Turkish_llasa_tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cosmobillian/Turkish_llasa_tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Cosmobillian/Turkish_llasa_tts")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Cosmobillian/Turkish_llasa_tts") model = AutoModelForCausalLM.from_pretrained("Cosmobillian/Turkish_llasa_tts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from Cosmobillian/Turkish_llasa_tts: direct link, hf CLI and curl.
- Browser
- Download file 29.5 MB
-
https://huggingface.co/Cosmobillian/Turkish_llasa_tts/resolve/main/tokenizer.json
- Command line
-
hf download hf://Cosmobillian/Turkish_llasa_tts/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Cosmobillian/Turkish_llasa_tts/resolve/main/tokenizer.json
29.5 MB
- Xet hash:
- f719296dce88f2d7b90952b9a10034878ed812be27b5aa3a43c79256ca02bead
- Size of remote file:
- 29.5 MB
- SHA256:
- 71d92f3dbf3c23d734e6356241cef149b42fe79848176a54145b6f9a886fd73b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.