Instructions to use rohitp1/libri-alpha-0.5-Temp-1-processor-change with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rohitp1/libri-alpha-0.5-Temp-1-processor-change with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="rohitp1/libri-alpha-0.5-Temp-1-processor-change")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("rohitp1/libri-alpha-0.5-Temp-1-processor-change") model = AutoModelForCTC.from_pretrained("rohitp1/libri-alpha-0.5-Temp-1-processor-change", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55d4543e69ee230f240302e4e4562bb88a7de86559fc1c7985c66cc964430b7d
- Size of remote file:
- 208 MB
- SHA256:
- 9208de2055c8af3372e7de87dfdbdb51216f08baeae6adeb4dc13a1e5db1d2cf
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