Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Czech
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use maag/whisper_tiny_cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maag/whisper_tiny_cs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="maag/whisper_tiny_cs")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("maag/whisper_tiny_cs") model = AutoModelForSpeechSeq2Seq.from_pretrained("maag/whisper_tiny_cs") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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oid sha256:2290248691a522a3e04ba45f9e7b59a084dcada2c7e64dc052b87c0c69991aae
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size 230726400
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