Instructions to use Imxxn/AudioCourseU5-ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Imxxn/AudioCourseU5-ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Imxxn/AudioCourseU5-ASR")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Imxxn/AudioCourseU5-ASR") model = AutoModelForSpeechSeq2Seq.from_pretrained("Imxxn/AudioCourseU5-ASR") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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model-index:
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- name: AudioCourseU5-ASR
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.32.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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model-index:
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- name: AudioCourseU5-ASR
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results: []
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datasets:
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- PolyAI/minds14
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.32.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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