Instructions to use devkyle/whisper-tiny-dp-wd-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devkyle/whisper-tiny-dp-wd-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="devkyle/whisper-tiny-dp-wd-v2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("devkyle/whisper-tiny-dp-wd-v2") model = AutoModelForSpeechSeq2Seq.from_pretrained("devkyle/whisper-tiny-dp-wd-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b77c7ea5c24aec9d3e32a75cda4506eb41a12dcad1a615fd344914a9eae69980
- Size of remote file:
- 5.5 kB
- SHA256:
- 15818f580b0adde9c0f9bc6dcf5575ac604eefc5fe1b6a39392a2f69989de32b
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