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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -9,7 +9,7 @@
<a href="https://github.com/TimeCopilot/timecopilot/actions/workflows/ci.yaml"><img src="https://github.com/TimeCopilot/timecopilot/actions/workflows/ci.yaml/badge.svg?branch=main" alt="CI"></a>
<a href="https://pypi.python.org/pypi/timecopilot"><img src="https://img.shields.io/pypi/v/timecopilot.svg" alt="PyPI"></a>
<a href="https://github.com/TimeCopilot/timecopilot"><img src="https://img.shields.io/pypi/pyversions/timecopilot.svg" alt="versions"></a>
<a href="https://github.com/TimeCopilot/timecopilot/blob/main/LICENSE"><img src="https://img.shields.io/github/license/TimeCopilot/timecopilot.svg" alt="license"></a>
<a href="https://github.com/TimeCopilot/timecopilot/blob/main/LICENSE"><img src="https://img.shields.io/github/license/TimeCopilot/timecopilot" alt="license"></a>
<a href="https://discord.gg/7GEdHR6Pfg"><img src="https://img.shields.io/discord/1387291858513821776?label=discord" alt="Join Discord" /></a>
</div>

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4 changes: 0 additions & 4 deletions docs/changelogs/v0.0.23.md
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@@ -1,7 +1,3 @@
# V0.0.23 Changelog

## Changes

### Features

* **sktime support**: Added support for sktime models, enabling integration with the sktime forecasting ecosystem. See [#278](https://github.com/TimeCopilot/timecopilot/pull/278) and [#291](https://github.com/TimeCopilot/timecopilot/pull/291).
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12 changes: 6 additions & 6 deletions docs/contributing.md
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Expand Up @@ -96,31 +96,31 @@ TimeCopilot uses some forked Python packages, maintained under custom names on P

- **chronos-forecasting**
- Forked from: [amazon-science/chronos-forecasting](https://github.com/amazon-science/chronos-forecasting)
- TimeCopilot fork: [AzulGarza/chronos-forecasting](https://github.com/AzulGarza/chronos-forecasting/tree/feat/timecopilot-chronos-forecasting)
- TimeCopilot fork: [TimeCopilot/chronos-forecasting](https://github.com/TimeCopilot/chronos-forecasting/tree/feat/timecopilot-chronos-forecasting)
- Published on PyPI as: [`timecopilot-chronos-forecasting`](https://pypi.org/project/timecopilot-chronos-forecasting/)


- **granite-tsfm**
- Forked from: [ibm-granite/granite-tsfm](https://github.com/ibm-granite/granite-tsfm)
- TimeCopilot fork: [AzulGarza/granite-tsfm](https://github.com/AzulGarza/granite-tsfm)
- TimeCopilot fork: [TimeCopilot/granite-tsfm](https://github.com/TimeCopilot/granite-tsfm)
- Published on PyPI as: [`timecopilot-granite-tsfm`](https://pypi.org/project/timecopilot-granite-tsfm/)

- **timesfm**
- Forked from: [google-research/timesfm](https://github.com/google-research/timesfm)
- TimeCopilot fork: [AzulGarza/timesfm](https://github.com/AzulGarza/timesfm)
- TimeCopilot fork: [TimeCopilot/timesfm](https://github.com/TimeCopilot/timesfm)
- Published on PyPI as: [`timecopilot-timesfm`](https://pypi.org/project/timecopilot-timesfm/)

- **tirex**
- Forked from: [NX-AI/tirex](https://github.com/NX-AI/tirex)
- TimeCopilot fork: [AzulGarza/tirex](https://github.com/AzulGarza/tirex)
- TimeCopilot fork: [TimeCopilot/tirex](https://github.com/TimeCopilot/tirex)
- Published on PyPI as: [`timecopilot-tirex`](https://pypi.org/project/timecopilot-tirex/)

- **toto**
- Forked from: [DataDog/toto](https://github.com/DataDog/toto)
- TimeCopilot fork: [AzulGarza/toto](https://github.com/AzulGarza/toto)
- TimeCopilot fork: [TimeCopilot/toto](https://github.com/TimeCopilot/toto)
- Published on PyPI as: [`timecopilot-toto`](https://pypi.org/project/timecopilot-toto/)

- **uni2ts**:
- Forked from: [SalesforceAIResearch/uni2ts](https://github.com/SalesforceAIResearch/uni2ts)
- TimeCopilot fork: [AzulGarza/uni2ts](https://github.com/AzulGarza/uni2ts)
- TimeCopilot fork: [TimeCopilot/uni2ts](https://github.com/TimeCopilot/uni2ts)
- Published on PyPI as: [`timecopilot-uni2ts`](https://pypi.org/project/timecopilot-uni2ts/)
2 changes: 1 addition & 1 deletion timecopilot/models/foundation/timesfm.py
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Expand Up @@ -143,7 +143,7 @@ def _get_predictor(
prediction_length: int,
) -> TimesFM_2p5_200M_torch:
# automatically detect the best device
# https://github.com/AzulGarza/timesfm/blob/b810bbdf9f8a1e66396e7bd5cdb3b005e9116d86/src/timesfm/timesfm_2p5/timesfm_2p5_torch.py#L71
# https://github.com/TimeCopilot/timesfm/blob/b810bbdf9f8a1e66396e7bd5cdb3b005e9116d86/src/timesfm/timesfm_2p5/timesfm_2p5_torch.py#L71
if os.path.exists(self.repo_id):
path = os.path.join(self.repo_id, "model.safetensors")
tfm = TimesFM_2p5_200M_torch().model.load_checkpoint(path)
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