Instructions to use null010/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use null010/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="null010/test")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("null010/test") model = AutoModelForSpeechSeq2Seq.from_pretrained("null010/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0db1b3cb68ebb71129c8e966d49933e3d9c1c384d82b677e052c9478fd51ae32
- Size of remote file:
- 290 MB
- SHA256:
- 4068110208fbcc5b874a7e6d2ebcafe67a1e50b3b7c8b480e154f9112b2b0a09
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