Instructions to use FinText/TimesFM_20M_2020_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/TimesFM_20M_2020_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, TimesFMForHF tokenizer = AutoTokenizer.from_pretrained("FinText/TimesFM_20M_2020_Augmented") model = TimesFMForHF.from_pretrained("FinText/TimesFM_20M_2020_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fce02a5f9635c724f9cb2b35f9d3278001e18d54d57d0fd6c6118ad16f5f4085
- Size of remote file:
- 79.3 MB
- SHA256:
- 3fc1762e5cb825ee15908dde28a02127b7f61b667b5373efe1a60dabb0e13578
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.