Instructions to use Anujgr8/speecht5_code_switch_intra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anujgr8/speecht5_code_switch_intra with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Anujgr8/speecht5_code_switch_intra")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Anujgr8/speecht5_code_switch_intra") model = AutoModelForTextToSpectrogram.from_pretrained("Anujgr8/speecht5_code_switch_intra", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from Anujgr8/speecht5_code_switch_intra: direct link, hf CLI and curl.
- Browser
- Download file 40 Bytes
-
https://huggingface.co/Anujgr8/speecht5_code_switch_intra/resolve/main/added_tokens.json
- Command line
-
hf download hf://Anujgr8/speecht5_code_switch_intra/added_tokens.json
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curl -L -o added_tokens.json https://huggingface.co/Anujgr8/speecht5_code_switch_intra/resolve/main/added_tokens.json
40 Bytes
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