How to use Trelis/whisper-small-llm-lingo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Trelis/whisper-small-llm-lingo")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Trelis/whisper-small-llm-lingo") model = AutoModelForSpeechSeq2Seq.from_pretrained("Trelis/whisper-small-llm-lingo", device_map="auto")
https://huggingface.co/Trelis/whisper-small-llm-lingo/resolve/main/training_plot.png
hf download hf://Trelis/whisper-small-llm-lingo/training_plot.png
curl -L -o training_plot.png https://huggingface.co/Trelis/whisper-small-llm-lingo/resolve/main/training_plot.png
