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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("thuml/sundial-base-128m", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from thuml/sundial-base-128m: direct link, hf CLI and curl.
- Browser
- Download file 69 Bytes
-
https://huggingface.co/thuml/sundial-base-128m/resolve/main/generation_config.json
- Command line
-
hf download hf://thuml/sundial-base-128m/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/thuml/sundial-base-128m/resolve/main/generation_config.json
69 Bytes
| { | |
| "_from_model_config": true, | |
| "transformers_version": "4.40.1" | |
| } | |