Instructions to use seastar105/whisper-tiny-komixv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seastar105/whisper-tiny-komixv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="seastar105/whisper-tiny-komixv2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("seastar105/whisper-tiny-komixv2") model = AutoModelForSpeechSeq2Seq.from_pretrained("seastar105/whisper-tiny-komixv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a4db901f0fc7d242d09e6e4513b4040ccc261c062b64dff990087484adbf0e7
- Size of remote file:
- 450 kB
- SHA256:
- 626f22982864906ce8c99edb81531aa363107143e96d8107f34b4cc975e6e487
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