Instructions to use FinText/TimesFM_20M_2002_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/TimesFM_20M_2002_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, TimesFMForHF tokenizer = AutoTokenizer.from_pretrained("FinText/TimesFM_20M_2002_Augmented") model = TimesFMForHF.from_pretrained("FinText/TimesFM_20M_2002_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 708f76234c93cc0322528bf659d2b776cd14968fe16e53b2e29bd403b9efcadf
- Size of remote file:
- 79.3 MB
- SHA256:
- 83a299ff9144a60679c0a4ba282b5a811dcd4d62747bc0474ee64e2f0dc7bf47
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