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 krishifer/sundial-base-128m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krishifer/sundial-base-128m with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("krishifer/sundial-base-128m", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from krishifer/sundial-base-128m: direct link, hf CLI and curl.
- Browser
- Download file 739 Bytes
-
https://huggingface.co/krishifer/sundial-base-128m/resolve/main/config.json
- Command line
-
hf download hf://krishifer/sundial-base-128m/config.json
-
curl -L -o config.json https://huggingface.co/krishifer/sundial-base-128m/resolve/main/config.json
739 Bytes
| { | |
| "_name_or_path": "sundial_base_128m", | |
| "architectures": [ | |
| "SundialForPrediction" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_sundial.SundialConfig", | |
| "AutoModelForCausalLM": "modeling_sundial.SundialForPrediction" | |
| }, | |
| "diffusion_batch_mul": 4, | |
| "dropout_rate": 0.1, | |
| "flow_loss_depth": 3, | |
| "hidden_act": "silu", | |
| "hidden_size": 768, | |
| "initializer_range": 0.02, | |
| "input_token_len": 16, | |
| "intermediate_size": 3072, | |
| "max_position_embeddings": 10000, | |
| "model_type": "sundial", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "num_sampling_steps": 50, | |
| "output_token_lens": [ | |
| 720 | |
| ], | |
| "rope_theta": 10000, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.40.1", | |
| "use_cache": true | |
| } | |