Instructions to use psiyou/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use psiyou/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="psiyou/output")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("psiyou/output") model = AutoModelForSpeechSeq2Seq.from_pretrained("psiyou/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a69fe0b739e168d3fc47a5640b37382de94e287be94516a9a2baf24e16318d8
- Size of remote file:
- 5.05 kB
- SHA256:
- 6bebbcb789ecc9a77a293191251424f847db05249ce64f91a8c31cfaff7d4c1d
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