Time Series Forecasting
Transformers
Safetensors
sundial
text-generation
time series
time-series
forecasting
foundation models
pretrained models
generative models
time series foundation models
custom_code
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
Add `library_name` to model card
#8
by nielsr HF Staff - opened
This PR updates the model card by adding library_name: transformers to the metadata.
This ensures that the model is correctly categorized on the Hugging Face Hub and enables the automated "how to use" widget, providing users with a quick and verified code snippet for loading and using the model with the 🤗 Transformers library, as demonstrated in the existing Quickstart section.
thx!
Yong99 changed pull request status to merged