Instructions to use almlengineer143/unsth_tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries
PEFT
How to use almlengineer143/unsth_tts with PEFT:
```
Task type is invalid.
```

How to use almlengineer143/unsth_tts with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("almlengineer143/unsth_tts", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

Unsloth Studio

How to use almlengineer143/unsth_tts 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 almlengineer143/unsth_tts 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 almlengineer143/unsth_tts to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for almlengineer143/unsth_tts to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="almlengineer143/unsth_tts",
    max_seq_length=2048,
)

unsth_tts / training_args.bin

Commit History

Upload folder using huggingface_hub

71a6329
verified

almlengineer143 commited on Aug 22, 2025

Commit History

Upload folder using huggingface_hub 71a6329 verified

Upload folder using huggingface_hub

71a6329
verified