Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use shane062/whisper-tiny-300 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shane062/whisper-tiny-300 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="shane062/whisper-tiny-300")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("shane062/whisper-tiny-300") model = AutoModelForSpeechSeq2Seq.from_pretrained("shane062/whisper-tiny-300", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from shane062/whisper-tiny-300: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/shane062/whisper-tiny-300/resolve/main/training_args.bin
- Command line
-
hf download hf://shane062/whisper-tiny-300/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/shane062/whisper-tiny-300/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 5875a6e326d609f1e966c1a68ce72d1fe5a3e9aa14ce22fd84c5897c51fa2821
- Size of remote file:
- 5.24 kB
- SHA256:
- 0f5ae2851ea0e2bcf79bfc32e4bdccc990d73f4b15282397f68a7fc9c6551eee
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