Text-to-Speech
Transformers
Safetensors
llama
text-generation
tts
orpheus
snac
amharic
text-generation-inference
Instructions to use Bmancman/amharic-get-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bmancman/amharic-get-tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Bmancman/amharic-get-tts")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Bmancman/amharic-get-tts") model = AutoModelForCausalLM.from_pretrained("Bmancman/amharic-get-tts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Amharic fine-tune of Orpheus-3B for text-to-speech.
- Downloads last month
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Model tree for Bmancman/amharic-get-tts
Base model
meta-llama/Llama-3.2-3B-Instruct Finetuned
canopylabs/orpheus-3b-0.1-pretrained Finetuned
unsloth/orpheus-3b-0.1-pretrained