Instructions to use FinText/TimesFM_20M_2002_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/TimesFM_20M_2002_US with Transformers:
# Load model directly from transformers import AutoTokenizer, TimesFMForHF tokenizer = AutoTokenizer.from_pretrained("FinText/TimesFM_20M_2002_US") model = TimesFMForHF.from_pretrained("FinText/TimesFM_20M_2002_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 188c576d18636f962cc693c50dafbec686a7d47acd04ec5664cc0f91017f399f
- Size of remote file:
- 79.3 MB
- SHA256:
- 333e43ffc1207de20f75b8e887620892988e2ac9600edaaddad59b9936442c36
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