Instructions to use maxseats/yeah_tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maxseats/yeah_tmp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="maxseats/yeah_tmp")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("maxseats/yeah_tmp") model = AutoModelForSpeechSeq2Seq.from_pretrained("maxseats/yeah_tmp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 963eac1f5ed394f439c21662bb86904efa25962c560ca2568cddf41678a2f7e8
- Size of remote file:
- 967 MB
- SHA256:
- c71d808f1ff77bfd1f446f1a0144e0bfb8cbc23799e0937e3ae48c208d914011
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