Instructions to use maxseats/tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maxseats/tmp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="maxseats/tmp")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("maxseats/tmp") model = AutoModelForSpeechSeq2Seq.from_pretrained("maxseats/tmp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52df263d312eecaa8cb3d59e230e8d8cd48f87a6a3b478d9cb270e509401ae34
- Size of remote file:
- 5.3 kB
- SHA256:
- 75a69b659c15a1186602bcee46a181dc63a376404656f68f34ec5d8b743a7a25
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