Instructions to use roshna-omer/mms-vits-ckb2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roshna-omer/mms-vits-ckb2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="roshna-omer/mms-vits-ckb2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("roshna-omer/mms-vits-ckb2") model = AutoModelForTextToWaveform.from_pretrained("roshna-omer/mms-vits-ckb2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from roshna-omer/mms-vits-ckb2: direct link, hf CLI and curl.
- Browser
- Download file 18 Bytes
-
https://huggingface.co/roshna-omer/mms-vits-ckb2/resolve/main/added_tokens.json
- Command line
-
hf download hf://roshna-omer/mms-vits-ckb2/added_tokens.json
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curl -L -o added_tokens.json https://huggingface.co/roshna-omer/mms-vits-ckb2/resolve/main/added_tokens.json
18 Bytes
| { | |
| "<unk>": 44 | |
| } | |