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
- Xet hash:
- 04f04a6cbaf5e5dcb5b4b8ba4245d4be5930056a4870d1b03f0d9a56f0b5b64e
- Size of remote file:
- 13.3 MB
- SHA256:
- af1e46629e98a434bdc8e3eeff899b054330389781d7673946f3b2dda42b8c44
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