Instructions to use GeoffVdr/whisper-tiny-nlcv11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GeoffVdr/whisper-tiny-nlcv11 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GeoffVdr/whisper-tiny-nlcv11")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("GeoffVdr/whisper-tiny-nlcv11") model = AutoModelForSpeechSeq2Seq.from_pretrained("GeoffVdr/whisper-tiny-nlcv11", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from GeoffVdr/whisper-tiny-nlcv11: direct link, hf CLI and curl.
- Browser
- Download file 3.52 kB
-
https://huggingface.co/GeoffVdr/whisper-tiny-nlcv11/resolve/main/training_args.bin
- Command line
-
hf download hf://GeoffVdr/whisper-tiny-nlcv11/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/GeoffVdr/whisper-tiny-nlcv11/resolve/main/training_args.bin
3.52 kB
- Xet hash:
- 4a8c52ff80009e18ff31358d6aef08bcf51242c88c903cee98b9115a5694275d
- Size of remote file:
- 3.52 kB
- SHA256:
- 2515a55db8ad91d1269001ca75cdaa244c67e3a92300e62385e6a81d702139f0
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