Automatic Speech Recognition
Transformers
PyTorch
JAX
Japanese
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use Gustav114514/work with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gustav114514/work with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Gustav114514/work")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Gustav114514/work") model = AutoModelForCTC.from_pretrained("Gustav114514/work") - 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:c14e119e63c3dcabec7f869878e08850e31010df9608b0ab0bbdfb77dfa06821
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size 1271405556
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