Instructions to use ffedox/en-whisper-small-eptic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ffedox/en-whisper-small-eptic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ffedox/en-whisper-small-eptic")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ffedox/en-whisper-small-eptic") model = AutoModelForSpeechSeq2Seq.from_pretrained("ffedox/en-whisper-small-eptic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17f843b44b76cf4b31dd744004e11b051c0f3c8fd9812813cc0674b235642cd3
- Size of remote file:
- 4.28 kB
- SHA256:
- 1f56cc7af413a737ac2bc9c244b60a9575d94a2e695a7c39f7a34bb071d6ed7d
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