Instructions to use clinton254/model_save with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clinton254/model_save with Transformers:
# Load model directly from transformers import AutoTokenizer, PatchTSTForClassification tokenizer = AutoTokenizer.from_pretrained("clinton254/model_save") model = PatchTSTForClassification.from_pretrained("clinton254/model_save", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0a168edae22d268ac8556081b0b22b9801d10d323560b32c8577f3f9ea5c03a
- Size of remote file:
- 4.66 kB
- SHA256:
- 8b5958c736d512d75e23fad86c81a12851107e16a5e70640105c2f18ca826d87
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