Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use Roxysun/cs2fi-wav2vec2-large-xls-r-300m-cs-colab-phoneme 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-cs-colab-phoneme 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-cs-colab-phoneme")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Roxysun/cs2fi-wav2vec2-large-xls-r-300m-cs-colab-phoneme") model = AutoModelForCTC.from_pretrained("Roxysun/cs2fi-wav2vec2-large-xls-r-300m-cs-colab-phoneme", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- feaedc9b0154d9b88afe96a20968f3a53da40888f0d5b41f9e498980f30733dc
- Size of remote file:
- 4.6 kB
- SHA256:
- f12e8db2bec0ac1eea3bb05d17c1317e7cab41a84ab51de77f9c86d4f0466f3f
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