Instructions to use cminja/whisper-tiny-sr-hr-combined with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cminja/whisper-tiny-sr-hr-combined with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="cminja/whisper-tiny-sr-hr-combined")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("cminja/whisper-tiny-sr-hr-combined") model = AutoModelForSpeechSeq2Seq.from_pretrained("cminja/whisper-tiny-sr-hr-combined", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from cminja/whisper-tiny-sr-hr-combined: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/cminja/whisper-tiny-sr-hr-combined/resolve/main/training_args.bin
- Command line
-
hf download hf://cminja/whisper-tiny-sr-hr-combined/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/cminja/whisper-tiny-sr-hr-combined/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- d89f3489183a0978179740d2382032ec8a821e9e88f8212ffb7fa9ab38f08eca
- Size of remote file:
- 5.3 kB
- SHA256:
- 78648378064b15985a1da1aa30956f544e0fcbcd564871a7d200fc8b6c904a0e
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