Text-to-Speech
Transformers
Safetensors
Marathi
llama
text-generation
tts
audio
speech-synthesis
indic
marathi
orpheus
custom_code
text-generation-inference
Instructions to use atx-labs/Vyom-TTS-Marathi-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use atx-labs/Vyom-TTS-Marathi-3B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="atx-labs/Vyom-TTS-Marathi-3B", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("atx-labs/Vyom-TTS-Marathi-3B", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("atx-labs/Vyom-TTS-Marathi-3B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!