Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use kaifahmad/wav2vec2-large-xls-r-300m-tr-colab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kaifahmad/wav2vec2-large-xls-r-300m-tr-colab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kaifahmad/wav2vec2-large-xls-r-300m-tr-colab")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("kaifahmad/wav2vec2-large-xls-r-300m-tr-colab") model = AutoModelForCTC.from_pretrained("kaifahmad/wav2vec2-large-xls-r-300m-tr-colab", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3fc693018d61b37641f2e37ae3fd23784248709b8872f2e7a2e5ac68c6182853
- Size of remote file:
- 1.26 GB
- SHA256:
- 5526836c9b8260b80954b3331eb160baa5ace4d7a2673d5824750c86cb8d6681
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