Instructions to use thuml/sundial-base-128m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thuml/sundial-base-128m with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("thuml/sundial-base-128m", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Model APIs for representation learning
Hi!
I was wondering if you considered releasing some APIs to perform representation learning. Specifically, something similar to what Chronos allows (see here) or Mantis (see here). I think it would be very beneficial to researchers working on problems other than forecasting, but still wanting to leverage the representations from your model.
Thanks for the work! π
Hi! Thanks for your kind words and the great suggestion! π
Weβre always exploring ways to make our models more accessible and useful to the research community. Weβll read through the API reference you recommend and work on expanding our API in a few weeks, as representation learning is a really compelling use case.
Thanks again for the suggestion π