Automatic Speech Recognition
Transformers
PyTorch
Chuvash
wav2vec2
mozilla-foundation/common_voice_8_0
Generated from Trainer
robust-speech-event
model_for_talk
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use sammy786/wav2vec2-xlsr-chuvash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sammy786/wav2vec2-xlsr-chuvash with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sammy786/wav2vec2-xlsr-chuvash")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("sammy786/wav2vec2-xlsr-chuvash") model = AutoModelForCTC.from_pretrained("sammy786/wav2vec2-xlsr-chuvash", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sammy786/wav2vec2-xlsr-chuvash: direct link, hf CLI and curl.
- Browser
- Download file 3.85 GB
-
https://huggingface.co/sammy786/wav2vec2-xlsr-chuvash/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sammy786/wav2vec2-xlsr-chuvash/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sammy786/wav2vec2-xlsr-chuvash/resolve/main/pytorch_model.bin
3.85 GB
- Xet hash:
- d524949e20602cd93e84428f74d808e43cf0950bdbea2d23a869033054f26e15
- Size of remote file:
- 3.85 GB
- SHA256:
- c8141ce707f25636e0f52556a328dfc726394a725cece3dc5259da9f15d9acad
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