Instructions to use TheAIchemist13/whisper-hindi-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheAIchemist13/whisper-hindi-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TheAIchemist13/whisper-hindi-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("TheAIchemist13/whisper-hindi-base") model = AutoModelForSpeechSeq2Seq.from_pretrained("TheAIchemist13/whisper-hindi-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from TheAIchemist13/whisper-hindi-base: direct link, hf CLI and curl.
- Browser
- Download file 4.22 kB
-
https://huggingface.co/TheAIchemist13/whisper-hindi-base/resolve/main/training_args.bin
- Command line
-
hf download hf://TheAIchemist13/whisper-hindi-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/TheAIchemist13/whisper-hindi-base/resolve/main/training_args.bin
4.22 kB
- Xet hash:
- 7d7659a663ac2dc49199409aacb3a5fbcddf411d4ed7b4ebc52287dd56ce1de8
- Size of remote file:
- 4.22 kB
- SHA256:
- 05895b28c6d434ab63cd7bcd35e582e1304ac11d90d16b863c5af72c5b5f962d
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