Instructions to use rohitp1/libri-alpha-0.85-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-0.85-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-0.85-Temp-1-processor-change")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("rohitp1/libri-alpha-0.85-Temp-1-processor-change") model = AutoModelForCTC.from_pretrained("rohitp1/libri-alpha-0.85-Temp-1-processor-change", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65db66519c5890e0a2b75b8303f34309f4d6dc1a81484bc1d016ec68f3781667
- Size of remote file:
- 3.44 kB
- SHA256:
- a6e6220c129b75f9172400b330d50d165377b4be77c206491726c47d98b1e7e6
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