Instructions to use ThomasFG/E3-67.5-67.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThomasFG/E3-67.5-67.5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ThomasFG/E3-67.5-67.5")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ThomasFG/E3-67.5-67.5") model = AutoModelForSpeechSeq2Seq.from_pretrained("ThomasFG/E3-67.5-67.5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 979ee68d5a889e5c795350428cf85ba037444513544aa4d875e69eaa08189108
- Size of remote file:
- 4.73 kB
- SHA256:
- bd15269d694c81bda7eee4b718e111a3efc123aaf39ce5f84f9c201658b6f197
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