Instructions to use clinton254/patch_tst with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clinton254/patch_tst with Transformers:
# Load model directly from transformers import AutoTokenizer, PatchTSTForClassification tokenizer = AutoTokenizer.from_pretrained("clinton254/patch_tst") model = PatchTSTForClassification.from_pretrained("clinton254/patch_tst") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24814d08f957933ba394759ef94c95e02e7a842f942d8b4e86876e305fea24a8
- Size of remote file:
- 4.66 kB
- SHA256:
- 0ec3fdd153d581522ea8cf49aee2a84115a856a209ff707637ba80cc73061627
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.