Instructions to use ibrainf/second_tts_try with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibrainf/second_tts_try with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ibrainf/second_tts_try", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use ibrainf/second_tts_try 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 ibrainf/second_tts_try 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 ibrainf/second_tts_try to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ibrainf/second_tts_try to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="ibrainf/second_tts_try", max_seq_length=2048, )
- Xet hash:
- 63592ad6f5ee970b03fdc394908cba6f078b02b6805d11dc368847af02454dca
- Size of remote file:
- 18.4 MB
- SHA256:
- ec54a55e3c6fc7318ea02cbd1a6eb1fb180bff1b58acbf068504a25f1b407b7b
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