Instructions to use huggingface/time-series-transformer-tourism-monthly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huggingface/time-series-transformer-tourism-monthly with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, TimeSeriesTransformerForPrediction tokenizer = AutoTokenizer.from_pretrained("huggingface/time-series-transformer-tourism-monthly") model = TimeSeriesTransformerForPrediction.from_pretrained("huggingface/time-series-transformer-tourism-monthly", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from huggingface/time-series-transformer-tourism-monthly: direct link, hf CLI and curl.
- Browser
- Download file 151 kB
-
https://huggingface.co/huggingface/time-series-transformer-tourism-monthly/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://huggingface/time-series-transformer-tourism-monthly/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/huggingface/time-series-transformer-tourism-monthly/resolve/main/pytorch_model.bin
151 kB
- Xet hash:
- 36ac76b9f3aea6b681801f20c18a29db042b298cbefc100e1c26c1af75a7131d
- Size of remote file:
- 151 kB
- SHA256:
- d39fb93ad9b4d19cda4aa1f7b90081ab4f264d1914244d357a762ddc71c99c1c
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