Text-to-Speech
Transformers
Safetensors
English
qwen2
text-generation
tts
spark-tts
voice-cloning
unsloth
trl
sft
featherlabs
audio
text-generation-inference
Instructions to use Featherlabs/Finatts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Featherlabs/Finatts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Featherlabs/Finatts")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Featherlabs/Finatts") model = AutoModelForCausalLM.from_pretrained("Featherlabs/Finatts") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use Featherlabs/Finatts with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Featherlabs/Finatts to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Featherlabs/Finatts to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Featherlabs/Finatts to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Featherlabs/Finatts", max_seq_length=2048, )