Instructions to use GautamR/whisper-tiny-hi2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GautamR/whisper-tiny-hi2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GautamR/whisper-tiny-hi2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("GautamR/whisper-tiny-hi2") model = AutoModelForSpeechSeq2Seq.from_pretrained("GautamR/whisper-tiny-hi2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from GautamR/whisper-tiny-hi2: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/GautamR/whisper-tiny-hi2/resolve/main/training_args.bin
- Command line
-
hf download hf://GautamR/whisper-tiny-hi2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/GautamR/whisper-tiny-hi2/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 4017a11429620bf400c273ee586cfd987e1b5113062cc0169d2a48ca46e64148
- Size of remote file:
- 5.24 kB
- SHA256:
- bb4356bc199b9e866a209b34ef40140e28d70ec9c686f8dfdfc3583a6b241e74
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