Automatic Speech Recognition
Transformers
Safetensors
English
whisper
grpo
reinforcement-learning
asr
Eval Results (legacy)
Instructions to use wrice/whisper-tiny-grpo-5e2f49e-cv22-tiny-sftadaptive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wrice/whisper-tiny-grpo-5e2f49e-cv22-tiny-sftadaptive with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="wrice/whisper-tiny-grpo-5e2f49e-cv22-tiny-sftadaptive")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("wrice/whisper-tiny-grpo-5e2f49e-cv22-tiny-sftadaptive") model = AutoModelForSpeechSeq2Seq.from_pretrained("wrice/whisper-tiny-grpo-5e2f49e-cv22-tiny-sftadaptive", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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