Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
mozilla-foundation/common_voice_7_0
Generated from Trainer
Instructions to use naleraphael/rasr_sample with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use naleraphael/rasr_sample with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="naleraphael/rasr_sample")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("naleraphael/rasr_sample") model = AutoModelForCTC.from_pretrained("naleraphael/rasr_sample", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07bb8c6724c2bec84fd40c4077bf42a4277c92fe1c4da62e95b45f94d0859f4c
- Size of remote file:
- 2.99 kB
- SHA256:
- 24b41a5ee5125ae2eb4f4f0d7e46ef4d36e0be453b04f907316dd994c9733d06
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