eulogik / nanoforecast-patchtst-baselines

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Total runs: 27
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7-day runs: -3
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Model's Last Updated: August 29 2026
time-series-forecasting

Introduction of nanoforecast-patchtst-baselines

Model Details of nanoforecast-patchtst-baselines

PatchTST baselines (channel-independent, standard protocol)

Trained on a free Colab T4 with the exact hyperparameters of the PatchTST paper (d_model=512, e_layers=3, patch_len=16, stride 8, dropout 0.3, lr 1e-4, patience 3, lookback 512, horizon 48). Channel-independent: each channel is a separate sample.

Contains {ds}.pt + {ds}.json for ETTh1, ETTh2, ETTm1, exchange_rate, electricity, traffic, plus standard_benchmark.json (MASE/MAE/MSE/sMAPE under the protocol in benchmark_standard.py of the NanoForecast repo).

Runs of eulogik nanoforecast-patchtst-baselines on huggingface.co

27
Total runs
0
24-hour runs
1
3-day runs
-3
7-day runs
1
30-day runs

More Information About nanoforecast-patchtst-baselines huggingface.co Model

More nanoforecast-patchtst-baselines license Visit here:

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nanoforecast-patchtst-baselines huggingface.co

nanoforecast-patchtst-baselines huggingface.co is an AI model on huggingface.co that provides nanoforecast-patchtst-baselines's model effect (), which can be used instantly with this eulogik nanoforecast-patchtst-baselines model. huggingface.co supports a free trial of the nanoforecast-patchtst-baselines model, and also provides paid use of the nanoforecast-patchtst-baselines. Support call nanoforecast-patchtst-baselines model through api, including Node.js, Python, http.

nanoforecast-patchtst-baselines huggingface.co Url

https://huggingface.co/eulogik/nanoforecast-patchtst-baselines

eulogik nanoforecast-patchtst-baselines online free

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eulogik nanoforecast-patchtst-baselines online free url in huggingface.co:

https://huggingface.co/eulogik/nanoforecast-patchtst-baselines

nanoforecast-patchtst-baselines install

nanoforecast-patchtst-baselines is an open source model from GitHub that offers a free installation service, and any user can find nanoforecast-patchtst-baselines on GitHub to install. At the same time, huggingface.co provides the effect of nanoforecast-patchtst-baselines install, users can directly use nanoforecast-patchtst-baselines installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

nanoforecast-patchtst-baselines install url in huggingface.co:

https://huggingface.co/eulogik/nanoforecast-patchtst-baselines

Url of nanoforecast-patchtst-baselines

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