Instructions to use lvizcaya/patchtst-exchange-rate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lvizcaya/patchtst-exchange-rate with Transformers:
# Load model directly from transformers import AutoTokenizer, PatchTSTForPrediction tokenizer = AutoTokenizer.from_pretrained("lvizcaya/patchtst-exchange-rate") model = PatchTSTForPrediction.from_pretrained("lvizcaya/patchtst-exchange-rate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa1dfce781a28a8f7dd6bac1ba9175294f9afda0be2aae1bca004019c39b3692
- Size of remote file:
- 5.33 kB
- SHA256:
- 5d856dda24306c2519410fd58536b33490cc32e1ae47bd8ac2e91e19a66b1e6a
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