Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Malayalam
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use arjunshajitech/whisper-small-malayalam-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arjunshajitech/whisper-small-malayalam-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="arjunshajitech/whisper-small-malayalam-v3")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("arjunshajitech/whisper-small-malayalam-v3") model = AutoModelForSpeechSeq2Seq.from_pretrained("arjunshajitech/whisper-small-malayalam-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from arjunshajitech/whisper-small-malayalam-v3: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/arjunshajitech/whisper-small-malayalam-v3/resolve/main/training_args.bin
- Command line
-
hf download hf://arjunshajitech/whisper-small-malayalam-v3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/arjunshajitech/whisper-small-malayalam-v3/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 1eb2c25982e177c7c8507af28d99aa48dde09ee0a604062ede8cced7123bf153
- Size of remote file:
- 5.24 kB
- SHA256:
- 161615810e0e16ae16a6d9616b881a28b7683da088c919d7126994afc70583dd
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