Instructions to use IABDs8a/whisper-tiny-top3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IABDs8a/whisper-tiny-top3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="IABDs8a/whisper-tiny-top3")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("IABDs8a/whisper-tiny-top3") model = AutoModelForSpeechSeq2Seq.from_pretrained("IABDs8a/whisper-tiny-top3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-976/optimizer.pt from IABDs8a/whisper-tiny-top3: direct link, hf CLI and curl.
- Browser
- Download file 302 MB
-
https://huggingface.co/IABDs8a/whisper-tiny-top3/resolve/main/checkpoint-976/optimizer.pt
- Command line
-
hf download hf://IABDs8a/whisper-tiny-top3/checkpoint-976/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/IABDs8a/whisper-tiny-top3/resolve/main/checkpoint-976/optimizer.pt
302 MB
- Xet hash:
- 3e082a6f9e4d5c42835082737af529d92ff172a036a886654f40505a49ffe349
- Size of remote file:
- 302 MB
- SHA256:
- 0a902714166059b5086c6f679ceb761955e0fa817d87aaa77dc64e30e959443b
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