Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use technaxx/whisper-tiny-minds14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use technaxx/whisper-tiny-minds14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="technaxx/whisper-tiny-minds14")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("technaxx/whisper-tiny-minds14") model = AutoModelForSpeechSeq2Seq.from_pretrained("technaxx/whisper-tiny-minds14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from technaxx/whisper-tiny-minds14: direct link, hf CLI and curl.
- Browser
- Download file 151 MB
-
https://huggingface.co/technaxx/whisper-tiny-minds14/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://technaxx/whisper-tiny-minds14/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/technaxx/whisper-tiny-minds14/resolve/main/pytorch_model.bin
151 MB
- Xet hash:
- f38e0db4d3949746793c66b0e53cda1d73825c091127a3f09bf5ca474bb0487d
- Size of remote file:
- 151 MB
- SHA256:
- 16981d798aaa14909cb15949e1b1e1870600a1c015da0c51cd7be09e1c59a655
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