Instructions to use Coaster41/patchtst_tsmixup_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Coaster41/patchtst_tsmixup_final with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, PatchTSTForPrediction tokenizer = AutoTokenizer.from_pretrained("Coaster41/patchtst_tsmixup_final") model = PatchTSTForPrediction.from_pretrained("Coaster41/patchtst_tsmixup_final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-22000/optimizer.pt from Coaster41/patchtst_tsmixup_final: direct link, hf CLI and curl.
- Browser
- Download file 9.64 MB
-
https://huggingface.co/Coaster41/patchtst_tsmixup_final/resolve/main/checkpoint-22000/optimizer.pt
- Command line
-
hf download hf://Coaster41/patchtst_tsmixup_final/checkpoint-22000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Coaster41/patchtst_tsmixup_final/resolve/main/checkpoint-22000/optimizer.pt
9.64 MB
- Xet hash:
- 30d74d623fd5b2f5cad67a711d9c4aaab10fcef030e157410938cf518698822a
- Size of remote file:
- 9.64 MB
- SHA256:
- 13aec75816bd129b6f7ef2cb7a1f34e10cd5107afc02383a1556d31a609e4d6d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.