Instructions to use bigmorning/whisper_charsplit_new_0041 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigmorning/whisper_charsplit_new_0041 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bigmorning/whisper_charsplit_new_0041")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("bigmorning/whisper_charsplit_new_0041") model = AutoModelForMultimodalLM.from_pretrained("bigmorning/whisper_charsplit_new_0041") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9f566f6ffa2d89970bd664b162deee57e49c09c4ab9616eba7ee6fbc4590b2c
- Size of remote file:
- 151 MB
- SHA256:
- 7fd21b5f6baae58e0272599444ca2720ec6bc53f38422c559f7611118bf560d6
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