Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use kfahn/whisper-tiny-minds14-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kfahn/whisper-tiny-minds14-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kfahn/whisper-tiny-minds14-v1", device_map="auto")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kfahn/whisper-tiny-minds14-v1") model = AutoModelForSpeechSeq2Seq.from_pretrained("kfahn/whisper-tiny-minds14-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d8f9ef6bf4b6be4c1be79768b6a4138b4e3ab63c93741da4574cdb213784a435
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size 151061728
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