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")# pip install -U transformers accelerate # 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
Download model.safetensors from devkyle/whisper-tiny-dp-wd-v2: direct link, hf CLI and curl.
- Browser
- Download file 151 MB
-
https://huggingface.co/devkyle/whisper-tiny-dp-wd-v2/resolve/main/model.safetensors
- Command line
-
hf download hf://devkyle/whisper-tiny-dp-wd-v2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/devkyle/whisper-tiny-dp-wd-v2/resolve/main/model.safetensors
151 MB
- Xet hash:
- 95a024c579e03747fba389568ca68e733353c1f30f0fd14834d98d89e063dbf4
- Size of remote file:
- 151 MB
- SHA256:
- 2098d92c18b5cee98d09315ded251fba4f3193a90b61f3d883d087013deac9df
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