Instructions to use EYEDOL/ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EYEDOL/ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="EYEDOL/ASR")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("EYEDOL/ASR") model = AutoModelForSpeechSeq2Seq.from_pretrained("EYEDOL/ASR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9843c2eea3f167d491e51bf345a333068e29653a52d235255ff88e35267a016
- Size of remote file:
- 5.91 kB
- SHA256:
- 32c49dbfd36d176b20c88a73189c6105a8e4c6058e5f9aa4f7b0cb3f832b6b15
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