Transformers
PyTorch
Safetensors
autoformer
Finance
Autoformer
Timeseries Transformer
Timeseries Prediction
Instructions to use thesven/BTC-Autoformer-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thesven/BTC-Autoformer-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoformerForPrediction tokenizer = AutoTokenizer.from_pretrained("thesven/BTC-Autoformer-v1") model = AutoformerForPrediction.from_pretrained("thesven/BTC-Autoformer-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b74f56c5fe8d0383ad9df69dabc0ff59fe39c88916ea87fc89c6b2e0a1af6ca0
- Size of remote file:
- 881 kB
- SHA256:
- 883d3e84b7470202d3c45713a8f3d091fb4f96ee31429ae1ca300afd32e5a537
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