Instructions to use TheAIchemist13/hindi_wav2vec2_final_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheAIchemist13/hindi_wav2vec2_final_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TheAIchemist13/hindi_wav2vec2_final_2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("TheAIchemist13/hindi_wav2vec2_final_2") model = AutoModelForCTC.from_pretrained("TheAIchemist13/hindi_wav2vec2_final_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42521af2f683b4c2023557727ceaed45aa6e375dc17b927d641e649b9a8b45e5
- Size of remote file:
- 4.09 kB
- SHA256:
- bd6d8bc3885bf0a66e7e30cfeb5c1d0783366d8134ef0aa2151ecf5e7c28ae52
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