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", device_map="auto")# 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:
- 65cc66602126f6a9c521309e4090704830143679c725d0635eb9cef2c5a4e8b5
- Size of remote file:
- 967 MB
- SHA256:
- 89cfdf629b0c11803f04044cff01b8a02d6746326a8a51d09fc8cb59e1bc02ea
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