Instructions to use Trelis/tiron with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Trelis/tiron with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Trelis/tiron")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Trelis/tiron") model = AutoModelForSpeechSeq2Seq.from_pretrained("Trelis/tiron", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Demo for this model on Spaces
Hi @Trelis 🤗
I'm Apolinario, from the open-source team at Hugging Face. Congrats and thanks for open-sourcing Trelis/tiron on the Hub! We were excited about this work and built with an agent an interactive demo app of it on Hugging Face Spaces, running on a free ZeroGPU infrastructure.
Here's a link to the demo: https://huggingface.co/spaces/hugging-apps/tiron-meeting-transcriber
We would love to transfer this demo to you or your organization. Would you like this demo to live under your own account or organization? If so just let me know here which username to transfer to, and we'll transfer the Space over to you, we hope it can give your work more visibility, discoverability and allows folks to try it out.
(If you have any questions or just want to chat more about this, you can find me on Twitter, LinkedIn or apolinario @ huggingface.co)
Cheers,
Poli
Thanks Poli, this is phenomenal! Kindly transfer it to the Trelis organization (https://huggingface.co/Trelis). Thanks, Ronan
Thank you Ronan for contributing to open source! 🤗
Transferred: https://huggingface.co/spaces/Trelis/tiron-meeting-transcriber
It had to be made private for the transfer, feel free to make it public again. And ofc if you feel like it, to post about, put the demo on the project page, reference it on repos, etc. if you wish
Also, feel more than free to take ownership and make modifications as you see fit.
For future releases would be great if they already came with a demos! You can use this one as a blueprint to build by yourself or with the help of an agent, you can load the huggingface-spaces skill on Claude Code, Codex, Pi, etc.
Great, just made it public, many thanks. Just released huggingface.co/Trelis/tara and will aim to make something similar for it.