Instructions to use TheAIchemist13/hindi_wav2vec2_optimized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheAIchemist13/hindi_wav2vec2_optimized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TheAIchemist13/hindi_wav2vec2_optimized")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("TheAIchemist13/hindi_wav2vec2_optimized") model = AutoModelForCTC.from_pretrained("TheAIchemist13/hindi_wav2vec2_optimized", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): de3d9f4
Training in progress, step 75
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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