Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use Roxysun/cs2fi_wav2vec2-large-xls-r-300m-czech-colab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Roxysun/cs2fi_wav2vec2-large-xls-r-300m-czech-colab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Roxysun/cs2fi_wav2vec2-large-xls-r-300m-czech-colab")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Roxysun/cs2fi_wav2vec2-large-xls-r-300m-czech-colab") model = AutoModelForCTC.from_pretrained("Roxysun/cs2fi_wav2vec2-large-xls-r-300m-czech-colab", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cacac49a0110007f12611521f795a1a0d40a0abc54f1f473617dd83ff6c8c505
- Size of remote file:
- 1.26 GB
- SHA256:
- f7e7386fa2f283d5a4ccdaff319f00c43f7c7eacf04f1158ee8b17b6bd5eba3f
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