Instructions to use dangerusslee/farnsworth-csm-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dangerusslee/farnsworth-csm-1b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="dangerusslee/farnsworth-csm-1b")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("dangerusslee/farnsworth-csm-1b") model = AutoModelForTextToWaveform.from_pretrained("dangerusslee/farnsworth-csm-1b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download model.safetensors from dangerusslee/farnsworth-csm-1b: direct link, hf CLI and curl.
- Browser
- Download file 4.15 GB
-
https://huggingface.co/dangerusslee/farnsworth-csm-1b/resolve/main/model.safetensors
- Command line
-
hf download hf://dangerusslee/farnsworth-csm-1b/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/dangerusslee/farnsworth-csm-1b/resolve/main/model.safetensors
4.15 GB
- Xet hash:
- 048e89244b26066d61ad420a67e9809b51cd655aed155a758b3eff033ab16e6c
- Size of remote file:
- 4.15 GB
- SHA256:
- c47d36ed06abf62e26cc97e75256a7b160c8142bd6904812e730d711b1de03aa
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