Instructions to use kabir5297/BanglaASR-XLSR-SmallLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kabir5297/BanglaASR-XLSR-SmallLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kabir5297/BanglaASR-XLSR-SmallLM")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("kabir5297/BanglaASR-XLSR-SmallLM") model = AutoModelForCTC.from_pretrained("kabir5297/BanglaASR-XLSR-SmallLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 805045292126b86d25a97674eb6d66c1e567596868a54900b66476f8bb2fb454
- Size of remote file:
- 3.06 kB
- SHA256:
- 21a02f3d6ae8da57246f273304808f3fa6d25e0ac9c3ba1b4bb8d45a9d9cd207
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