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")# 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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:be2d08a6590007ef13203faf087e5d872a61b9b666803248373b80f68a905a06
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size 290403984
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