Instructions to use slprl/WhiStress with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slprl/WhiStress with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="slprl/WhiStress")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("slprl/WhiStress", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download additional_decoder_block.pt from slprl/WhiStress: direct link, hf CLI and curl.
- Browser
- Download file 37.8 MB
-
https://huggingface.co/slprl/WhiStress/resolve/main/additional_decoder_block.pt
- Command line
-
hf download hf://slprl/WhiStress/additional_decoder_block.pt
-
curl -L -o additional_decoder_block.pt https://huggingface.co/slprl/WhiStress/resolve/main/additional_decoder_block.pt
37.8 MB
- Xet hash:
- 4bb1f6f876ba4add8e26a2216c36ab104a4e48109239d11b15f4f46f3f1a7662
- Size of remote file:
- 37.8 MB
- SHA256:
- b7d440821c831364c5046e859843926120550a38143f89e1bace82a2ed03cc77
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