Automatic Speech Recognition
Transformers
Safetensors
English
whisper
text-generation-inference
unsloth
Instructions to use Trelis/llm-lingo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Trelis/llm-lingo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Trelis/llm-lingo")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Trelis/llm-lingo") model = AutoModelForSpeechSeq2Seq.from_pretrained("Trelis/llm-lingo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded finetuned model
- Developed by: Trelis
- License: apache-2.0
- Finetuned from model : unsloth/whisper-large-v3-turbo
This whisper model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for Trelis/llm-lingo
Base model
openai/whisper-large-v3 Finetuned
unsloth/whisper-large-v3-turbo