Instructions to use pepoo20/Bengali_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pepoo20/Bengali_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pepoo20/Bengali_finetuned")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("pepoo20/Bengali_finetuned") model = AutoModelForCTC.from_pretrained("pepoo20/Bengali_finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95f3a1703eb8eac00bf8880420c9fd76f0af5fe7262a5039e1d3900c131a92ed
- Size of remote file:
- 2.49 GB
- SHA256:
- 92d4e2e798c710ec1141c51c121057d5fa4132fb12778b9f303c4cb8c0d794b7
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