Time Series Forecasting
Transformers
Safetensors
qwen2
text-generation
time-series
llm
number-embedding
wavelet
text-generation-inference
Instructions to use Melady/TempoWAVE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Melady/TempoWAVE with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Melady/TempoWAVE") model = AutoModelForCausalLM.from_pretrained("Melady/TempoWAVE") - Notebooks
- Google Colab
- Kaggle
Add model card, link to paper and code
#1
by nielsr HF Staff - opened
This PR adds a comprehensive model card for TempoWAVE, linking it to the paper Speaking Numbers to LLMs: Multi-Wavelet Number Embeddings for Time Series Forecasting.
It also populates the YAML metadata with the appropriate pipeline_tag (time-series-forecasting) and library_name (transformers), and provides a link to the official GitHub repository.
Thanks for the PR!
idevede changed pull request status to merged