Automatic Speech Recognition
Transformers
Safetensors
English
whisper
stt
speech-to-text
asr
fine-tuned
Instructions to use Trelis/whisper-small-llm-lingo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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")# 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") - Notebooks
- Google Colab
- Kaggle
