Instructions to use ThomasFG/45-45-45 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThomasFG/45-45-45 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ThomasFG/45-45-45")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ThomasFG/45-45-45") model = AutoModelForSpeechSeq2Seq.from_pretrained("ThomasFG/45-45-45", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8aa4c14dcbed91a7ac2da2820aba58b90f60dfcdf88ff4bf918cf2bf30eda9ea
- Size of remote file:
- 4.73 kB
- SHA256:
- 804f61f252fd8152885f8b5a9f6c9345318b4418482fc7578ac5c0697ec10ea0
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