Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use nagorebravo/whisper-tiny-en-minds14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nagorebravo/whisper-tiny-en-minds14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nagorebravo/whisper-tiny-en-minds14")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("nagorebravo/whisper-tiny-en-minds14") model = AutoModelForSpeechSeq2Seq.from_pretrained("nagorebravo/whisper-tiny-en-minds14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
899a3a2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:9c6925a0fd6e5a57b5278418330b095de67d663cb8e1d461f5915ff66151b2ed
size 5393
|