Instructions to use anniev18/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anniev18/checkpoints with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="anniev18/checkpoints")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("anniev18/checkpoints") model = AutoModelForSpeechSeq2Seq.from_pretrained("anniev18/checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe1a5de35542fb12d8c01cf80967281e2253e0a2f573a8d4383a81735982d653
- Size of remote file:
- 5.11 kB
- SHA256:
- 4655554ae848a61e450f7323ff67456ac698cb9e73b7a2f422a85f502c36fe0a
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