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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a102fcbe06740ab55c145b798b5bbe1eaf5adf7cc728676fc6c054feddb6f314
- Size of remote file:
- 378 MB
- SHA256:
- 491fc751f3087b8449961c38a05f2c89923ba3d3b4e6e78b74c8e986ec0468ed
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