Instructions to use kadirnar/csm-tr-new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kadirnar/csm-tr-new with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="kadirnar/csm-tr-new")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("kadirnar/csm-tr-new") model = AutoModelForTextToWaveform.from_pretrained("kadirnar/csm-tr-new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: kadirnar
- License: apache-2.0
- Finetuned from model : unsloth/csm-1b
This csm model was trained 2x faster with Unsloth
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