Instructions to use FinText/TimesFM_20M_2016_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/TimesFM_20M_2016_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, TimesFMForHF tokenizer = AutoTokenizer.from_pretrained("FinText/TimesFM_20M_2016_Augmented") model = TimesFMForHF.from_pretrained("FinText/TimesFM_20M_2016_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0832522c3ea6ee4b060df89e9298f22d4164e9b2f474b800423057fc42e28d9
- Size of remote file:
- 79.3 MB
- SHA256:
- 6ef3d64831345834096ecd3877b96526c8ae22889242bfd109c5e25980215a14
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