Instructions to use amit0814/wav2vec2-large-xls-r-300m-hi-spot-colab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amit0814/wav2vec2-large-xls-r-300m-hi-spot-colab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="amit0814/wav2vec2-large-xls-r-300m-hi-spot-colab")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("amit0814/wav2vec2-large-xls-r-300m-hi-spot-colab") model = AutoModelForCTC.from_pretrained("amit0814/wav2vec2-large-xls-r-300m-hi-spot-colab", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0ce4c239aa1969b362c50e329617f013eb067477b424d9de6dd907ab681988b
- Size of remote file:
- 1.26 GB
- SHA256:
- 5d4202b2f7bbf7e83f1af1b5306a09a7fea8bd32f8bf4a034efb54d6f7dda203
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