Automatic Speech Recognition
Transformers
PyTorch
JAX
Ukrainian
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use arampacha/wav2vec2-large-xlsr-ukrainian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arampacha/wav2vec2-large-xlsr-ukrainian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="arampacha/wav2vec2-large-xlsr-ukrainian")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("arampacha/wav2vec2-large-xlsr-ukrainian") model = AutoModelForCTC.from_pretrained("arampacha/wav2vec2-large-xlsr-ukrainian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from arampacha/wav2vec2-large-xlsr-ukrainian: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/arampacha/wav2vec2-large-xlsr-ukrainian/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://arampacha/wav2vec2-large-xlsr-ukrainian/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/arampacha/wav2vec2-large-xlsr-ukrainian/resolve/main/pytorch_model.bin
1.26 GB
- Xet hash:
- 06e7208ccbf7d76b07bcb59ca6844e3a34b6f2b1a88d1792ab178d5d510811f4
- Size of remote file:
- 1.26 GB
- SHA256:
- 7afbb26196ab2c5ff777d99e5ace7a4221d7fbc9732bc934191b2366e9c53280
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.