Instructions to use BuzzASR/czech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BuzzASR/czech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="BuzzASR/czech")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("BuzzASR/czech") model = AutoModelForSpeechSeq2Seq.from_pretrained("BuzzASR/czech", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from BuzzASR/czech: direct link, hf CLI and curl.
- Browser
- Download file 3.09 GB
-
https://huggingface.co/BuzzASR/czech/resolve/main/model.safetensors
- Command line
-
hf download hf://BuzzASR/czech/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/BuzzASR/czech/resolve/main/model.safetensors
3.09 GB
- Xet hash:
- fe5543548150b1b140bdef289faa7cccf3d12e2720bde413b8082b5177dfaedf
- Size of remote file:
- 3.09 GB
- SHA256:
- b118b4f0bde8411e0d00dae5d425384578d511e14e426db30daae91e99fa8247
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