Instructions to use asif00/whisper-bangla with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asif00/whisper-bangla with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="asif00/whisper-bangla")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("asif00/whisper-bangla") model = AutoModelForSpeechSeq2Seq.from_pretrained("asif00/whisper-bangla", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from asif00/whisper-bangla: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/asif00/whisper-bangla/resolve/main/training_args.bin
- Command line
-
hf download hf://asif00/whisper-bangla/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/asif00/whisper-bangla/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 8ba59439df1a164ac702a068658b39195d338ae042a49b272ac9d883f6921198
- Size of remote file:
- 5.24 kB
- SHA256:
- 7625b11b9397b7b3e3ca28c7ad3d5872784d7324a6c0aa791e6883b8788eb6ff
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