Text-to-Speech
Transformers
Safetensors
English
Hindi
llama
text-generation
tts
hindi
english
audio
speech
india
text-generation-inference
Instructions to use maya-research/Veena with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maya-research/Veena with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="maya-research/Veena")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("maya-research/Veena") model = AutoModelForCausalLM.from_pretrained("maya-research/Veena", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 81300fbca49196ad6f0e8acca3dc0d9d81b046bddbd2309fa3535d71d67858be
- Size of remote file:
- 22.9 MB
- SHA256:
- c88f202c5216ed6485367f5a606093d54f9a89ef3c654001ccc10026fcd276f2
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