Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
./sample_speech.py
Generated from Trainer
Instructions to use yesj1234/xlsr_enko_exp2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yesj1234/xlsr_enko_exp2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="yesj1234/xlsr_enko_exp2", device_map="auto")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("yesj1234/xlsr_enko_exp2") model = AutoModelForCTC.from_pretrained("yesj1234/xlsr_enko_exp2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4e94bcceca92d621687108dbf92571c31fa66cc0b94df1db5ed122860ca9be41
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size 1261942780
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