Instructions to use tensorops/whisper-tiny-th-v7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tensorops/whisper-tiny-th-v7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="tensorops/whisper-tiny-th-v7")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("tensorops/whisper-tiny-th-v7") model = AutoModelForSpeechSeq2Seq.from_pretrained("tensorops/whisper-tiny-th-v7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 22
Browse files
pytorch_model.bin
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runs/Nov17_20-41-41_rtx-i7/events.out.tfevents.1668692523.rtx-i7.2049441.0
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