Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use misiker/asr-tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use misiker/asr-tuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="misiker/asr-tuned")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("misiker/asr-tuned") model = AutoModelForCTC.from_pretrained("misiker/asr-tuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18e1e74219b6e9430ec2d30fe9bd39f4365c639967a18b9af5c5ad1e13dc95b5
- Size of remote file:
- 5.37 kB
- SHA256:
- 080ca37b2debcd7da718cd11a2e935453724308971ac3f2dfc4d2c09f5b09d9c
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