Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Welsh
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use pplantinga/whisper-small-cy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pplantinga/whisper-small-cy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pplantinga/whisper-small-cy")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("pplantinga/whisper-small-cy") model = AutoModelForSpeechSeq2Seq.from_pretrained("pplantinga/whisper-small-cy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from pplantinga/whisper-small-cy: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/pplantinga/whisper-small-cy/resolve/main/training_args.bin
- Command line
-
hf download hf://pplantinga/whisper-small-cy/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/pplantinga/whisper-small-cy/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 90e1eabbeba596ea4061cfacc33a43f73ca13f1bba29350f7444440abfb6bd5c
- Size of remote file:
- 3.58 kB
- SHA256:
- f1c9c8f02ae38803be42b0997d69ca20e3d6ff4d03f474a7580564f1df196b14
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