Instructions to use parthiv11/indic_whisper_hi_multi_gpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use parthiv11/indic_whisper_hi_multi_gpu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="parthiv11/indic_whisper_hi_multi_gpu")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("parthiv11/indic_whisper_hi_multi_gpu") model = AutoModelForSpeechSeq2Seq.from_pretrained("parthiv11/indic_whisper_hi_multi_gpu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
27cc1ba | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b8f11369882d5ce64d8995b37a40d82d04d5ed7604f4ac72ba3b83050783381a
size 3055736342
|