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
| { | |
| "</s>": 116, | |
| "<s>": 115 | |
| } | |