Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
wav2vec2
google/fleurs
Generated from Trainer
pashto
ps
Eval Results (legacy)
Instructions to use ihanif/wav2vec2-xls-r-300m-pashto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ihanif/wav2vec2-xls-r-300m-pashto with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ihanif/wav2vec2-xls-r-300m-pashto")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ihanif/wav2vec2-xls-r-300m-pashto") model = AutoModelForCTC.from_pretrained("ihanif/wav2vec2-xls-r-300m-pashto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73e544b80c0683a4b300bc105d9444216ed2f4b40000f93083a6c8067e2e7bbd
- Size of remote file:
- 3.45 kB
- SHA256:
- f8db676724d3b250a75c67b14b560e0f5841aa861be1b97a2de36a39b8f53a7a
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