Time Series Forecasting
Transformers
Safetensors
Timer-S1
text-generation
time series
time-series
forecasting
foundation models
pretrained models
time series foundation models
quantized
4-bit precision
bitsandbytes
unofficial
custom_code
Instructions to use sktime/Timer-S1-quantized-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sktime/Timer-S1-quantized-4bit with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("sktime/Timer-S1-quantized-4bit", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 049f40967c113b567422a81eca7eac9ba8a5eb964ce44d6912f2e7a852662d12
- Size of remote file:
- 4.67 GB
- SHA256:
- 01fe733c374f791d4b00261f5c4bc35690095ba46c9ad87b6751f77f667727f8
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