Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use ternikov/whisper-tiny-check with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ternikov/whisper-tiny-check with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ternikov/whisper-tiny-check")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ternikov/whisper-tiny-check") model = AutoModelForSpeechSeq2Seq.from_pretrained("ternikov/whisper-tiny-check", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ternikov/whisper-tiny-check: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/ternikov/whisper-tiny-check/resolve/main/training_args.bin
- Command line
-
hf download hf://ternikov/whisper-tiny-check/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ternikov/whisper-tiny-check/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 3a985aa18036511419e211c39bfd065123b6d78ed65eb99ec8738a171dab5e1a
- Size of remote file:
- 5.05 kB
- SHA256:
- c6f3c3eaeb4fd0bf40d025be017c4cf89c78e9b9ef0ade887043eb1cef2ad570
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