Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Twi
whisper
custom-dataset
local-dataset
Generated from Trainer
Instructions to use dkt-py-bot/TG-Whisper-Tiny-FineTuned-DL-Twi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dkt-py-bot/TG-Whisper-Tiny-FineTuned-DL-Twi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="dkt-py-bot/TG-Whisper-Tiny-FineTuned-DL-Twi")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("dkt-py-bot/TG-Whisper-Tiny-FineTuned-DL-Twi") model = AutoModelForSpeechSeq2Seq.from_pretrained("dkt-py-bot/TG-Whisper-Tiny-FineTuned-DL-Twi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ecec7ab70b62ec94d1371a238898b391c23da4729006cde1073d8019c9a053f
- Size of remote file:
- 5.5 kB
- SHA256:
- 1c7b2685f6b94740bf4ada8ccdee1015f11e36a8be025015b9e54f4b12b33664
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