Instructions to use FirstPotatoCoder/csm-1b-aivoice-merged-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FirstPotatoCoder/csm-1b-aivoice-merged-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="FirstPotatoCoder/csm-1b-aivoice-merged-v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("FirstPotatoCoder/csm-1b-aivoice-merged-v2") model = AutoModelForTextToWaveform.from_pretrained("FirstPotatoCoder/csm-1b-aivoice-merged-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from FirstPotatoCoder/csm-1b-aivoice-merged-v2: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/FirstPotatoCoder/csm-1b-aivoice-merged-v2/resolve/main/tokenizer.json
- Command line
-
hf download hf://FirstPotatoCoder/csm-1b-aivoice-merged-v2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/FirstPotatoCoder/csm-1b-aivoice-merged-v2/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- cb9ea84f6d9a01f6702677ac2e2764d2ce804c59221e17963e0c6f465dbc3f6a
- Size of remote file:
- 17.2 MB
- SHA256:
- 80f511469b4aceda8c17ccafef2310eceeda9dd4589cf2c062bd0279eef5646d
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