Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Bengali
whisper
Generated from Trainer
Instructions to use Sammyeazzy/whisper-small-benin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sammyeazzy/whisper-small-benin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sammyeazzy/whisper-small-benin")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Sammyeazzy/whisper-small-benin") model = AutoModelForSpeechSeq2Seq.from_pretrained("Sammyeazzy/whisper-small-benin", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Sammyeazzy/whisper-small-benin: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/Sammyeazzy/whisper-small-benin/resolve/main/training_args.bin
- Command line
-
hf download hf://Sammyeazzy/whisper-small-benin/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Sammyeazzy/whisper-small-benin/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- 0109359200539d1f7f6425167e9443f3c3fc288e3cf17fb27fa235100c16c372
- Size of remote file:
- 5.78 kB
- SHA256:
- b5820c57736e6b99cd4cd67cc07f25108174b1a45955c9f979acec5484ecdb6a
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