Instructions to use Mohit13/csm-aiAnytime-voice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mohit13/csm-aiAnytime-voice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Mohit13/csm-aiAnytime-voice")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForTextToWaveform extractor = AutoFeatureExtractor.from_pretrained("Mohit13/csm-aiAnytime-voice") model = AutoModelForTextToWaveform.from_pretrained("Mohit13/csm-aiAnytime-voice") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use Mohit13/csm-aiAnytime-voice 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 Mohit13/csm-aiAnytime-voice 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 Mohit13/csm-aiAnytime-voice to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Mohit13/csm-aiAnytime-voice to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Mohit13/csm-aiAnytime-voice", max_seq_length=2048, )
- Xet hash:
- 1f732a707b82c60c2febe62caf2cdfc24b6fa9ddd064c200b5b6eca738a94375
- Size of remote file:
- 17.2 MB
- SHA256:
- 529d18ee0f18a8a446ae0b4310c6675823231b366a7ea3fddfc488cf7f2277d6
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