Instructions to use nhatminh/PatchTSTPretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nhatminh/PatchTSTPretrain with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, PatchTSTForPrediction tokenizer = AutoTokenizer.from_pretrained("nhatminh/PatchTSTPretrain") model = PatchTSTForPrediction.from_pretrained("nhatminh/PatchTSTPretrain", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nhatminh/PatchTSTPretrain: direct link, hf CLI and curl.
- Browser
- Download file 4.79 kB
-
https://huggingface.co/nhatminh/PatchTSTPretrain/resolve/main/training_args.bin
- Command line
-
hf download hf://nhatminh/PatchTSTPretrain/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nhatminh/PatchTSTPretrain/resolve/main/training_args.bin
4.79 kB
- Xet hash:
- 1291a653d976cf68bb52740bce1bb1b608da27351bbc23feb90f2ddd7639cabd
- Size of remote file:
- 4.79 kB
- SHA256:
- 833e677e01c9e34fd1c0b1eb0b9f6a068add2c06a803351f201fa173ab21e465
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