Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
mozilla-foundation/common_voice_8_0
Generated from Trainer
robust-speech-event
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use hf-test/xls-r-300m-sv-cv8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-test/xls-r-300m-sv-cv8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hf-test/xls-r-300m-sv-cv8")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("hf-test/xls-r-300m-sv-cv8") model = AutoModelForCTC.from_pretrained("hf-test/xls-r-300m-sv-cv8") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
2c70f5c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b2b298ef3324a55321ed79e69c30b4a5137bb7bb2978085913533a806a8fd9a0
size 2991
|